• The Korean Journal of Nuclear Medicine
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• v.32 no.3
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• pp.225-237
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• 1998

Purpose: We investigated the statistical methods to compose the functional brain map of human working memory and the principal factors that have an effect on the methods for localization. Materials and Methods: Repeated PET scans with successive four tasks, which consist of one control and three different activation tasks, were performed on six right-handed normal volunteers for 2 minutes after bolus injections of 925 MBq $H_2^{15}O$ at the intervals of 30 minutes. Image data were analyzed using SPM96 (Statistical Parametric Mapping) implemented with Matlab (Mathworks Inc., U.S.A.). Images from the same subject were spatially registered and were normalized using linear and nonlinear transformation methods. Significant difference between control and each activation state was estimated at every voxel based on the general linear model. Differences of global counts were removed using analysis of covariance (ANCOVA) with global activity as covariate. Using the mean and variance for each condition which was adjusted using ANCOVA, t-statistics was performed on every voxel To interpret the results more easily, t-values were transformed to the standard Gaussian distribution (Z-score). Results: All the subjects carried out the activation and control tests successfully. Average rate of correct answers was 95%. The numbers of activated blobs were 4 for verbal memory I, 9 for verbal memory II, 9 for visual memory, and 6 for conjunctive activation of these three tasks. The verbal working memory activates predominantly left-sided structures, and the visual memory activates the right hemisphere. Conclusion: We conclude that rCBF PET imaging and statistical parametric mapping method were useful in the localization of the brain regions for verbal and visual working memory.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.103-116
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• 2017

In this paper, we present the design and implementation of a large-scale qualitative spatial reasoner, which can derive new qualitative spatial knowledge representing both topological and directional relationships between two arbitrary spatial objects in efficient way using Aparch Spark SQL. Apache Spark SQL is well known as a distributed parallel programming environment which provides both efficient join operations and query processing functions over a variety of data in Hadoop cluster computer systems. In our spatial reasoner, the overall reasoning process is divided into 6 jobs such as knowledge encoding, inverse reasoning, equal reasoning, transitive reasoning, relation refining, knowledge decoding, and then the execution order over the reasoning jobs is determined in consideration of both logical causal relationships and computational efficiency. The knowledge encoding job reduces the size of knowledge base to reason over by transforming the input knowledge of XML/RDF form into one of more precise form. Repeat of the transitive reasoning job and the relation refining job usually consumes most of computational time and storage for the overall reasoning process. In order to improve the jobs, our reasoner finds out the minimal disjunctive relations for qualitative spatial reasoning, and then, based upon them, it not only reduces the composition table to be used for the transitive reasoning job, but also optimizes the relation refining job. Through experiments using a large-scale benchmarking spatial knowledge base, the proposed reasoner showed high performance and scalability.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.779-781
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• 2003

최근에 제안된 VA-File［6］은 k-NN 질의 처리에서 아주 효율적이라고 알려져 있다. 제시된 방법은 분할된 데이터의 저장 효율성을 보장하지 못하기 때문에 각 차원에 할당된 비트의 수가 증가하면(비트수＝3~5) 할수륵 거의 모든 데이터에 대하여 MBH를 생성하는 단점이 있다. k-NN 질의는 거의 모든 데이터를 순차 검색을 통한 일차적 가지제거작업을 한 후. 질의를 수행하기 위한 디스크 접근을 한다. 따라서, 질의를 수행하기 위한 디스크 접근 횟수는 다른 방법들에 비하여 거의 최적에 가까운 접근 횟수를 가지나 주 기억 장치에서 최소-힘을 이용하여 수행하는 일차적 가지 제거 작업의 오버 로더는 간과되었다. 우리는 기존에 알려진 재귀적으로 공간을 두개의 부 공간으로 분할하는 방법을 사용하여 VA-File 과 같은 디렉토리 자료구조를 구축하여 k-NN 실험을 하였다. 이러한 분할된 MBH의 정방형성을 선호하는 방법은 저장 효율성을 보장한다. 실제 데이터에 대한 실험에서 우리가 실험한 간단한 방법은 디스크 접근 시간 및 CPU 시간을 합한 전체 수행시간에서 VA-File에 비하여 최대 93% 정도의 성능 향상이 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.351-360
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• 2016

The purpose of this study is to predict visual-spatial working memory performance through the characteristics of an electroencephalogram (EEG) in the resting state. The 31 study participants, middle school students with various to academic performance, were underwent visual-spatial working memory test in the Comprehensive Attention Test (CAT) on December in 2014. Each 7 and 6 participants were divided into an Excellent Working Memory (EWM) group and Poor Working Memory (PWM) group depending on the forward/backward working memory scores. The EEG measurements and analysis of the data from a Brain Function Tester were performed by the two groups. A Mann-Whitney Test was used to examine the statistical differences between them. The activation of high beta (${\beta}H$) at the Fp1 and Fp2 sites in the left and right hemisphere, and that of the low beta (${\beta}L$) in the right hemisphere in the EWM group was significantly higher than that in the PWM group. In conclusion, there is a correlation between the visual-spatial working memory performance and the activation of ${\beta}H$ and ${\beta}L$ in the resting state and a close correlation that of ${\beta}L$ in the right hemisphere in terms of mental activity and faculty. Therefore, the visual-spatial working memory performance can be predicted by the activation of ${\beta}H$ and ${\beta}L$ in the resting state. The activation of EEG can be applied as an assessment tool and provide basis data for visual-spatial working memory performance.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.169-171
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• 2002

최근 사용자가 언제 어디서나 원하는 정보에 접근을 요구하는 경향이 증가하고 있다. 이동 단말은 기억공간의 제약으로 인해 원하는 데이터 전부를 저장할 수 없으므로, 무선망을 통해 서버에 연결하여 자신이 필요한 데이터를 요구하게 된다. 효율적인 이동 컴퓨팅을 위해서는 네트워크 단절 시에도 작업을 지속적으로 수행할 수 있도록 하는 기능이 제공되어야 한다. 한편 컴퓨터와 통신 네트워크의 발달이 가속화되며 그에 따른 인터넷과 웹의 사용이 급속히 확산됨에 따라 이동 중의 작업에 대한 요구가 증가하고 있다. 본 논문에서는 기존에 연구된 이동 컴퓨팅 환경에서 연결 단절을 위한 다양한 자동 저장 방식들을 이동 인터넷 환경에 적용한 구조를 제안하였다. 특히 사용자의 요구는 시간에 따라 변할 수 있음을 고려하여 time weighting factor를 이용한 자동 저장 방식을 제안하고 시뮬레이션을 수행하였다.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.69-76
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• 2018

Objective : The study was to investigate the neurophysiological approach to the effect of complex exercise on memory, one of brain functions, and the degree of sleep disorder using experimental animals with sleep disorders. Methods : This study carried out a complex exercise that designed in an animal laboratory for 4 days to 16 sleep - disordered model rats. After the exercise, brain function was confirmed with the changes of BDNF in the hippocampus and the change of sleep level was confirmed with the concentration of melatonin in the blood. Results : First, the effect of the complex exercise program on brain function was significantly increased in the experimental group(p<0.01). Second, the effect of complex exercise program on sleep disturbance was significantly increased in the experimental group and control group(p<0.01)(p<0.05). Conclusion : The rate of increase of the elderly in the community is rapidly increasing, and the sleep disorder of the elderly can affect the quality of life of these elderly people. Secondary memory impairment due to sleep disturbances can also be a problem. Although there are many ways to improve sleep disturbance, it has been scientifically proven through experimental animals that sleep and memory can be improved with complex exercise that is not economically, spatially burdensome.

• Korean Journal of Remote Sensing
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• v.17 no.1
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• pp.57-69
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• 2001

This study propose a image processing system of unsupervised analysis. This system integrates low-level segmentation and high-level classification. The segmentation and classification are conducted respectively with and without spatial constraints on merging by a hierarchical clustering procedure. The clustering utilizes the local mutually closest neighbors and multi-window operation of a pyramid-like structure. The proposed system has been evaluated using simulated images and applied for the LANDSATETM+ image collected from Youngin-Nungpyung area on the Korean Peninsula.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.2
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• pp.130-138
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• 2016

Objectives: The aim of this study was to develop auditory-verbal and visual-spatial memory tasks using smart devices for children aged 8 to 10 years and examine their validity. Methods: One-hundred and fourteen school-aged children were recruited through internet advertising. We developed memory tasks assessing auditory-verbal memory, visual-spatial memory, and working memory, and then examined their construct validity by examining the developmental trend of the children's mean scores with age. In order to examine the concurrent validity of the tasks, we conducted correlation analyses between the children's scores on the newly developed auditory-verbal, visual-spatial memory and working memory tasks and their scores on well-known standardized tests of memory and working memory, including the auditory-verbal memory subtests of the Korean Luria-Nebraska Neuropsychological Battery for Children, Korean Rey-Osterrieth Complex Figure Test, digit span and arithmetic subtest of Korean Educational Development Institute Wechsler Intelligence Scale for Children Revised, and Corsi block test. Results: The memory and working memory scores measured by the newly developed tasks tended to increase with age. Further, there were significant correlations between the scores of the four cognitive tasks and the corresponding scores of the standardized assessment tools. Conclusion: This study revealed promising evidence for the validity of the memory tasks using smart devices, suggesting their utility for school-aged children in research and clinical settings.

• Journal of The Korean Association For Science Education
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• v.41 no.5
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• pp.371-390
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• 2021

The purpose of this study is to develop a neuropsychological model for the spatial ability factor and to divide the brain active area involved in the light & shadow problem solving process into the domain-general ability and the domain-specific ability based on the neuropsychological model. Twenty-four male college students participated in the study to measure the synchronized eye movement and electroencephalograms (EEG) while they performed the spatial ability test and the light & shadow tasks. Neuropsychological model for the spatial ability factor and light & shadow problem solving process was developed by integrating the measurements of the participants' eye movements, brain activity areas, and the interview findings regarding their thoughts and strategies. The results of this study are as follows; first, the spatial visualization and mental rotation factors mainly required activation of the parietal lobe, and the spatial orientation factor required activation of the frontal lobe. Second, in the light & shadow problem solving process, participants use both their spatial ability as a domain-general thought, and the application of scientific principles as a domain-specific thought. The brain activity patterns resulting from a participants' inferring the shadow by parallel light source and inferring the shadow when the direction of the light changed were similar to the neuropsychological model for the spatial visualization factor. The brain activity pattern from inferring an object from its shadow by light from multiple directions was similar to the neuropsychological model for the spatial orientation factor. The brain activity pattern from inferring a shadow with a point source of light was similar to the neuropsychological model for the spatial visualization factor. In addition, when solving the light & shadow tasks, the brain's middle temporal gyrus, precentral gyrus, inferior frontal gyrus, middle frontal gyrus were additionally activated, which are responsible for deductive reasoning, working memory, and planning for action.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.79-82
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• 2019

본 논문은 VR을 기반으로 하여 별도의 장갑이나 핸드헬드 디바이스 없이 치매 예방과 재활치료를 위한 VR을 이용함으로써 사용자의 두뇌 사용능력과 신체 활동성을 증가시켜 치매예방과 재활치료 효과를 향상시킬 수 있도록 하였다. 치매 예방 콘텐츠로는 치매의 대표적인 원인인 뇌세포의 퇴화에 초점을 맞춰 기억력, 논리력, 산술능력, 공간인지능력 등을 훈련할 수 있도록 구성하고, 노인을 위한 재활치료 콘텐츠로는 상지훈련, 하지훈련, 정신훈련, 밸런스훈련 등에 효과적이도록 구성하였다. 1:N 방식의 그룹훈련으로 고도화하여 다수의 사용자 또는 그룹이 작업치료사 한 명의 통제를 받아 치매예방 및 인지훈련이 가능한 시스템 개발하고 공공보건의료시설, 요양원, 재활의학과 보유병원 등에서 이용할 수 있다.