• Information Systems Review
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• v.5 no.1
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• pp.97-111
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• 2003

With the spread of electronic commerce on the Internet, comparison shopping sites with agent technique are getting popular for the best shopping. However, most consumers are still spending much time to search for the best price through the sites because each of them may show a different price even for the same goods or a site does not show any information about specific goods. Additionally, the search for the best price of the goods like books and CDs may cause the system to be overloaded and the response time to be long due to an on-line real-time search. In this paper, we have designed and implemented a meta-search system for comparison shopping sites with a local database and memory cache to resolve the above problems. The proposed system collects and maintains the price information of popular goods among the comparison shopping sites using several software agents. The experimental results show that our system is an efficient meta-comparison shopping engine and reduces the latency of the response time with little overhead.

• Journal of KIISE:Computing Practices and Letters
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• v.6 no.2
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• pp.113-119
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• 2000

In this paper, we design and implement a query processor of real-time main memory database systems, which reflect the characteristics of main memory database systems and satisfy timing constraints. The proposed query processor manages real-time data that has timing constraint by exploiting meta database. It supports CLI in order to make application programs. It also supports extended CLI and stored CLI. The former can be expressed the Information on real-time transaction. The latter is designed to support frequently processed transaction. The proposed query processor is implemented as query processor of real-time database management systems. We Present performance evaluation results that illustrate ratio of transaction, which satisfy deadline are increased by the query processing ability of system and the efficient management of real-time data.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.18-31
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• 2023

Exploring artificial intelligence and machine learning for nuclear safety has witnessed increased interest in recent years. To contribute to this area of research, a machine learning model capable of accurately predicting nuclear power plant response with minimal computational cost is proposed. To develop a robust machine learning model, the Best Estimate Plus Uncertainty (BEPU) approach was used to generate a database to train three models and select the best of the three. The BEPU analysis was performed by coupling Dakota platform with the best estimate thermal hydraulics code RELAP/SCDAPSIM/MOD 3.4. The Code Scaling Applicability and Uncertainty approach was adopted, along with Wilks' theorem to obtain a statistically representative sample that satisfies the USNRC 95/95 rule with 95% probability and 95% confidence level. The generated database was used to train three models based on Recurrent Neural Networks; specifically, Long Short-Term Memory, Gated Recurrent Unit, and a hybrid model with Long Short-Term Memory coupled to Convolutional Neural Network. In this paper, the System Engineering approach was utilized to identify requirements, stakeholders, and functional and physical architecture to develop this project and ensure success in verification and validation activities necessary to ensure the efficient development of ML meta-models capable of predicting of the nuclear power plant response.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.371-375
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• 2010

SSD is a storage medium based on NAND Flash memory. Because of its short latency, low power consumption, and resistance to shock, it's not only used in PC but also in server computers. Most SSDs use FTL to overcome the erase-before-overwrite characteristic of NAND flash. There are several types of FTL, but page mapped FTL shows better performance than others. But its usefulness is limited because of its large memory footprint for the mapping table. For example, 64MB memory space is required only for the mapping table for a 64GB MLC SSD. In this paper, we propose a novel caching scheme for the mapping table. By using the mapping-table-meta-data we construct a fully associative cache, and translate the address within O(1) time. The simulation results show more than 80 hit ratio with 32KB cache and 90% with 512KB cache. The overall memory footprint was only 1.9% of 64MB. The time overhead of cache miss was measured lower than 2% for most workload.

• Korean Journal of Cognitive Science
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• v.33 no.1
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• pp.23-50
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• 2022

Source memory is a cognitive process that combines the representation of the origin of the episodic experience with an item. By studying this daily process, researchers have made fundamental discoveries that make up the foundation of brain and behavior research, such as executive function and binding. In this paper, we review and conduct a bibliometric analysis on source memory papers published from 1989 to 2020. This review is based on keyword co-occurrence networks and author citation networks, providing an in-depth overview of the development of source memory research and future directions. This bibliometric analysis discovers a change in the research trends: while research prior to 2010 focused on individuality of source memory as a cognitive function, more recent papers focus more on the implication of source memory as it pertains to connectivity between disparate brain regions and to social neuroscience. Keyword network analysis shows that aging and executive function are continued topics of interest, although frameworks in which they are viewed have shifted to include developmental psychology and meta memory. The use of theories and models provided by source memory research seem essential for the future development of cognitive enhancement tools within and outside of the field of Psychology.

• Journal of Popular Narrative
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• v.26 no.1
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• pp.175-209
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• 2020

This paper examines how the cinematic representation of the Japanese military "comfort women" stimulates 'imagination' in the realm of everyday life and in the memory of the masses, creating a common awareness and affect. The history of the Japanese military "comfort women" was hidden for a long time, and it was not until the 1990s that it entered the field of public recognition. Such a transition can be attributed to the external and internal chronopolitics that made possible the testimony of the victims and the discourse of the "comfort women" issue. It shows the peculiar status of the comfort women history as 'politics of time'. In the same vein, the cinematic representations of the Japanese military "comfort women" can be found in similar chronopolitics. The 'comfort women' films have shown the dual time frame of the continuity and discontinuity of the 'silence'. In Korean film history, the chronotope of the reproduction of "comfort women" can be divided into four phases: 1) the fictional representations of "comfort women" before the 1990s 2) documentaries in the late 1990s as the work of testimony and history writing, 3) melodramatic transformation in the feature films in the 2000s, and 4) the diffusion of media and categories. The purpose of this article is to focus on the first phase and the third phase in which the issue of 'comfort women' is represented in the category of popular fiction films. While the "comfort women" representations before 1990 were strictly adhering to the framework of commercial movies and pursued the sexual exploitation of "comfort women" history, the recent films since the 2000s are experimenting with various attempts in the style of popular imagination. Especially, the emergence of 'comfort women' feature films in the 2000s, such as Spirit's Homecoming, I Can Speak, and Herstory, raise various questions as to whether we are "properly" aware of issues and how to remember and present the "cultural memory" of comfort women. Also, focusing on the cinematic representation strategies of the 2000s "comfort women", this article discusses the popular politics of melodrama, the representation of victims and violence, and the feature of 'comfort women' as meta-memory. As a melodramatic imagination and meta-memory for the historical trauma, the "comfort women" drama shows the historical, political, and aesthetic gateways to which the "comfort women" problem must pass. As we have seen in recent fiction films, the issue of "comfort women" goes beyond transnational relations between Korea and Japan; it demands a postcolonial task to dismantle the old colonial structure and explores a transnational project in which women's movements and human rights movements are linked internationally.

• Journal of KIISE
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• v.41 no.9
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• pp.674-685
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• 2014

The Knowledge service system needs to infer a new knowledge from indicated knowledge to provide its effective service. Most of the Knowledge service system is expressed in terms of ontology. The volume of knowledge information in a real world is getting massive, so effective technique for massive data of ontology is drawing attention. This paper is to provide the method to infer massive data-ontology to the extent of RDFS, based on cloud computing environment, and evaluate its capability. RDFS inference suggested in this paper is focused on both the method applying MapReduce based on RDFS meta table, and the method of single use of cloud computing memory without using MapReduce under distributed file computing environment. Therefore, this paper explains basically the inference system structure of each technique, the meta table set-up according to RDFS inference rule, and the algorithm of inference strategy. In order to evaluate suggested method in this paper, we perform experiment with LUBM set which is formal data to evaluate ontology inference and search speed. In case LUBM6000, the RDFS inference technique based on meta table had required 13.75 minutes(inferring 1,042 triples per second) to conduct total inference, whereas the method applying the cloud computing memory had needed 7.24 minutes(inferring 1,979 triples per second) showing its speed twice faster.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.256-260
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• 2008

This paper describes an improvement of mount-time delay in NAND Flash file systems. To improve file system mount performance, this work configures a hierarchical storage system with byte-addressable NVRAM and NAND Flash memory, and let the meta data of a file system allocated in the NVRAM. Since the meta data are stored in NVRAM supporting data integrity some of the items, which are stored in Spare area and Object Header area of NAND Flash memory to control meta data of NAND Flash file system, could be eliminated. And also, this work eliminates the scanning operation of the Object Header area of previous work FRASH1.0. The scanning operation is definitely required to find out the empty Object Header address for storing the Object Header data and provokes a certain amount of performance loss in file generation and deletion. In this work, an implemented file system, so-called FRASH1.5, is demonstrated, featuring new data structures and new algorithms. The mount time of FRASH1.5 becomes twice as fast as that of the FRASH1.0. The performance in file generation gets improved by about $3{\sim}8%$. In particular, for most large-size files, the FRASH1.5 has 8 times faster mount time than YAFFS, without any performance loss as seen in the file generation.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.41-47
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• 2020

This study aims to investigate effects of brain-based learning. 27 primary studies were selected through rigorous search process and analyzed through meta-analytic methods. Research findings are as follows. First, the total effect size was .67. Second, the effect of dependent variables was academic achievement, cognitive domain, and affective domain in order. Third, with respect to types of cognitive domain, the effect was self-regulation, creativity, competence, communication, and research ability in order. Fourth, the effect of affective domains was sociality, learning interest, and subject attitude in order. Fifth, regarding development of cognitive ability, the effect size was combined, brain training, learning environments, and right brain activities in order. Sixth, the effect of learning activities was memory improvement and attention enhancement in order.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.644-658
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• 2012

Purpose: The purpose of this study was to evaluate the cognitive effects of chemotherapy in patients with breast cancer. Methods: Using several databases, prospective studies were collected up to August 2011. Of 2,106 publications identified, 12 met the inclusion criteria, and 8 studies were used to estimate the effect size of chemotherapy on cognitive impairment. Results: Twelve studies were done since 2005 and most of the research was performed in Europe or North America. Eight studies were used to generate effect size across the cognitive domains of attention/concentration, verbal and visual memory, executive function, visuospatial skill, language, and subjective cognitive function. Each of the cognitive domains showed small effect sizes (-0.02 ~ -0.26), indicating diminished cognitive function for the chemotherapy group compared with non-chemotherapy groups. Conclusion: Finding suggests that breast cancer patients who undergo chemotherapy may experience mild cognitive decline. Further study is needed to generate knowledge and guideline for interventions to address chemotherapy related cognitive impairment in these patients.