• Korean Journal of Child Studies
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• v.19 no.1
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• pp.117-129
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• 1998

This study was designed to examine children's comprehension monitoring ability. Specifically the purpose of this study was to investigate (1) children's monitoring standards preference according to monitoring ability, and (2) the relationships between comprehension monitoring and working memory capacity. The subjects were 60 children, 30 each in 2nd and 4th grades. To measure comprehension monitoring ability, 7 stories including erroneous sentences were used. Working memory capacity was measured by the Reading Span Test (Lee, 1995). Results showed that (1) the high and low monitoring children were not different in monitoring standard preference, and (2) comprehension monitoring ability was significantly and positively related to working memory capacity.

• Research in Mathematical Education
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• v.13 no.3
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• pp.181-195
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• 2009

Students' approaches to mathematical problem solving vary greatly with each other. The main objective of the current study was to compare students' performance with different thinking styles (divergent vs. convergent) and working memory capacity upon mathematical problem solving. A sample of 150 high school girls, ages 15 to 16, was studied based on Hudson's test and Digit Span Backwards test as well as a math exam. The results indicated that the effect of thinking styles and working memory on students' performance in problem solving was significant. Moreover, students with divergent thinking style and high working memory capacity showed higher performance than ones with convergent thinking style. The implications of these results on math teaching and problem solving emphasizes that cognitive predictor variable (Convergent/Divergent) and working memory, in particular could be challenging and a rather distinctive factor for students.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.274-284
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• 2020

In the era of the Fourth Industrial Revolution, the level of data-efficient utilization greatly affects the performance of the enterprise. This study was to verify the effect on organizational performance and the absorption capacity as a mediate, depending on person-job fit and person-organization fit in organizational memory affordance. According to a survey of 317 employees of large, medium and small businesses, organizations that have sufficient organizational memory have had a positive impact on both person-job fit(PJF) and person-organization fit(POF), and also on absorption capacity. In addition, the organizational memory affordance had a positive effect on absorption capacity by mediating the POF. PJF and POF had a positive effect on management performance, but only POF when mediating absorption capacity showed a positive influence relationship. This study is meaningful by comprehensively empirical analysis of the organizational IT construction environment and the members' perception of organization and job as a leading factor in absorption capacity, and simultaneously demonstrating the impact on organizational performance.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.365-370
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• 2021

The current study aims to investigate the relationship between working memory capacity, vocabulary size, and listening competence of Korean EFL (English as a Foreign Language) learners. 30 English education majors from a university in Korea were recruited. The backward digit span and the operation span tasks were used to measure the participants' working memory capacity, while the Listening Vocabulary Level Test (LVLT) and the Michigan English Test (MET) were employed to measure their vocabulary size and listening proficiency in English, respectively. The correlational analyses revealed that the bigger one's working memory storage was, the better the person processed incoming input. However, no statistically significant correlation was found between working memory capacity, English vocabulary size, and listening proficiency, possibly due to the small sample size and the homogeneous subjects.

• Journal of the Semiconductor & Display Technology
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• v.7 no.3
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• pp.17-21
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• 2008

Application of flash memory in mobile and ubiquitous related devices is rapidly being increased due to its low price and high performance. In addition, some notebook computers currently come out into market with a SSD(Solid State Disk) instead of hard-drive based storage system. Regarding this trend, applications need to increase the storage capacity using multiple flash memory chips for larger capacity sooner or later. Flash memory based storage subsystem should resolve the performance bottleneck for writing in perspective of speed and lifetime according to its physical property. In order to make flash memory storage work with tangible performance, reclaiming of invalid regions needs to be controlled in a particular manner to decrease the number of erasures and to distribute the erasures uniformly over the whole memory space as much as possible. In this paper, we study the performance of flash memory recycling algorithms and demonstrate that the proposed algorithm shows acceptable performance for flash memory storage with multiple chips. The proposed cleaning method partitions the memory space into candidate memory regions, to be reclaimed as free, by utilizing threshold values. The proposed algorithm handles the storage system in multi-layered style. The impact of the proposed policies is evaluated through a number of experiments.

• Electronics and Telecommunications Trends
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• v.39 no.1
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• pp.62-73
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• 2024

Artificial intelligence relies on data-driven analysis, and the data processing performance strongly depends on factors such as memory capacity, bandwidth, and latency. Fast and large-capacity memory can be achieved by composing numerous high-performance memory units connected via high-performance interconnects, such as Compute Express Link (CXL). CXL is designed to enable efficient communication between central processing units, memory, accelerators, storage, and other computing resources. By adopting CXL, a composable computing architecture can be implemented, enabling flexible server resource configuration using a pool of computing resources. Thus, manufacturers are actively developing hardware and software solutions to support CXL. We present a survey of the latest software for CXL memory utilization and the most recent CXL memory emulation software. The former supports efficient use of CXL memory, and the latter offers a development environment that allows developers to optimize their software for the hardware architecture before commercial release of CXL memory devices. Furthermore, we review key technologies for improving the performance of both the CXL memory pool and CXL-based composable computing architecture along with various use cases.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.441-445
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• 2005

In the resent years, as the research and the development of micro and precision machinery become active, the interest of micro actuators using SMA(Shape Memory Alloy) has been increased. But, no detailed researches between the thermo-dynamic property in Nitinol alloy have been done yet. In this study, the thermal property of high temperature Nitinol shape memory alloy were evaluated using differential scanning calorimeter(DSC). The structure property was investigated using X-ray diffraction(XRD). A dynamic mechanical analyzer(DMA) with three point bending mode was used to study storage and loss modulus of shape memory alloy according to the thirteen frequencies in the temperature range between 30 and $200^{\circ}C$. The effects of the temperature heating/cooling rate, the frequency on the damping capacity have been systematically investigated. Such a frequency and temperature changes also influenced significantly to the damping behavior of the shape memory alloy. It was also found that Nitinol exhibited high damping capacity during phase transformation.

• ETRI Journal
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• v.30 no.3
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• pp.483-485
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• 2008

A micro-sensor network is comprised of a large number of small sensors with limited memory capacity. Current key-establishment schemes for symmetric encryption require too much memory for micro-sensor networks on a large scale. In this paper, we propose a memory-efficient hypercube key establishment scheme that only requires logarithmic memory overhead.

• Electronics and Telecommunications Trends
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• v.37 no.1
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• pp.42-52
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• 2022

With the advent of the big data era, the memory capacity required for computing systems is rapidly increasing, especially in High Performance Computing systems. However, the number of DRAMs that can be used in a computing node is limited by the structural limitations of the hardware (for example, CPU specifications). Memory expansion technology has attracted attention as a means of overcoming this limitation. This technology expands the memory capacity by leveraging the external memory connected to the host system through hardware interface such as PCIe and CCIX. In this paper, we present an overview and describe the development trends of the memory expansion technology. We also provide detailed descriptions and use cases of the CCIX that provides higher bandwidth and lower latency than cases of the PCIe.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.499-501
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• 2003

As semiconductor memory becomes cheaper, the memory capacity of computer system is increasing. Therefore computer system has sufficient memory for a plentiful spatial data. With emerging spatial application required high performance, this paper presents a GIS database system in main memory. Memory residence can provide both functionality and performance for a database management system. This paper describes design of DBMS for storing, querying, managing and analyzing for spatial and non-spatial data in main-memory. This memory resident GIS DBMS supports SQL for spatial query, spatial data model, spatial index and interface for GIS tool or applications.