• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6C
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• pp.465-474
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• 2005

In this paper, a directional reconstruction of lost block in image over noisy channel is presented. DCT coefficients or pixel values in the lost blocks are recovered by using the linear interpolation with available neighboring blocks that are adaptively selected by the directional measure that are composed of the DDC (Difference of DC opposite blocks)and SAC(Similarity of AC opposite blocks) between opposite blocks around lost blocks. The proposed directional recovery method is effective for the strong edge and texture regions because we do not make use of the fixed 4-neighboring blocks but exploit the varying neighboring blocks adaptively by the directional information in the local image. In this paper, we describe the novel directional measure(CDS: Combination of DDC and SAC) composed of the DDC and the SAC and select the usable block to recover the lost block with the directional measure. The proposed method shows about 0.6dB PSNR improvement in average compared to the conventional methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1243-1248
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• 2008

As development in technology of bioinformatics recently mates it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. In this thesis, we used CDNA microarrays of 3840 genes obtained from neuronal differentiation experiment of cortical stem cells on white mouse with cancer. It analyzed and compared performance of each of the experiment result using existing DT, NB, SVM and multi-perceptron neural network classifier combined the similar scale combination method after constructing class classification model by extracting significant gene list with a similar scale combination method proposed in this paper through normalization. Result classifying in Multi-Perceptron neural network classifier for selected 200 genes using combination of PC(Pearson correlation coefficient) and ED(Euclidean distance coefficient) represented the accuracy of 98.84%, which show that it improve classification performance than case to experiment using other classifier.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.5 no.1
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• pp.54-69
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• 1994

The purpose of present study was to develop the Korean Version of Luria-Nebraska Neuropsychological Battery for Children(LNNB-C), to examine the reliability of it, and to establish the norms for determining the probability of brain damage. The normative group used to standardize the Korean version of LNNB-C was composed of 147 children between the age of 8 and 12(body 74, girl 73). The clinical group consisted of 19 brain damaged, 16 ADHD, and 16 psychiatric controls. The inter-scorer reliability was 96.3%, indicating that the stability of the scoring system for the Korean version of LNNB-C is good. The reliability coefficients(Cronbach's ${\alpha}$) of LNNB-C scales were ranged .51 to .91, which are similar to those of original LNNB-C. To establish the norms for detecting brain damage, the means and standard deviations for normative group were used to calculate T-scores for each scale. To determine a critical level that could successfully predict a normal child's average score at a given age, first the average score of normative group was calculated, and this score was then entered a regression equation with age to predict the average(baseline) acore. Finally, some issues on constructing the Korean version of LNNB-C and the cultural differences between Korean and American children in performing LNNB-C were discussed.

• Korean Journal of School Psychology
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• v.17 no.2
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• pp.145-164
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• 2020

This study aims to validate the Korean Student Career Construction Inventory, a translated measure of career adaptation responses, with Korean college students. In order to do so, this study examines the relevant factor structure, internal consistency, test-retest reliability, criterion-related validity and measurement invariance between Korean undergraduate and graduate students. An online survey was completed by 294 participants, including the questions from the translated Korean Student Career Construction Inventory, in addition to measures of career adaptability and vocational identity. One hundred twenty five among the initial participants were tested again in three months for the examination of test-retest reliability. The results supported the four-factor structure of 18 items suggested by the original measure, as well as measurement invariance. The internal consistency and test-retest reliability were adequate. The Korean Student Career Construction Inventory was positively correlated with career adaptability, unidimensional vocational identity, and the dimensions of exploration and commitment of multidimensional vocational identity, but negatively with the dimension of reconsideration. The findings indicate that the Korean Student Career Construction Inventory has psychometric properties similar to the original form and can be used for both undergraduate and graduate students.

• Science of Emotion and Sensibility
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• v.24 no.3
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• pp.71-80
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• 2021

Previous studies using facial expressions have revealed valence and arousal as two core dimensions of affective space. However, it remains unknown if the two dimensional structure is consistent across ages. This study investigated affective dimensions using six facial expressions (angry, disgusted, fearful, happy, neutral, and sad) at three ages (young, middle-aged, and old). Several studies previously required participants to directly rate subjective similarity between facial expression pairs. In this study, we collected indirect measures by asking participants to decide if a pair of two stimuli conveyed the same emotions. Multidimensional scaling showed that "angry-disgusted" and "sad-disgusted" pairs are similar at all three ages. In addition, "angry-sad," "angry-neutral," "neutral-sad," and "disgusted-fearful" pairs were similar at old age. When two faces in a pair reflect the same emotion, "sad" was the most inaccurate in old age, suggesting that the ability to recognize "sad" decreases with old age. This study suggested that the general two-core dimension structure is robust across all age groups with the exception of specific emotions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.441-443
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• 2021

Sentence or text similarity is a measure of the degree of similarity between two sentences. Techniques for measuring text similarity include Jacquard similarity, cosine similarity, Euclidean similarity, and Manhattan similarity. Currently, the cosine similarity technique is most often used, but since this is an analysis according to the occurrence or frequency of a word in a sentence, the analysis on the semantic relationship is insufficient. Therefore, we try to improve the efficiency of analysis on the similarity of sentences by giving relations between words using ontology and including semantic similarity when extracting words that are commonly included in two sentences.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.51-62
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• 2003

A new video segmentation algorithm for segmentation-based video coding is proposed. The method uses a new criterion based on similarities in both motion and brightness. Brightness and motion information are incorporated in a single segmentation procedure. The actual segmentation is accomplished using a region-growing technique based on the watershed algorithm. In addition, a tracking technique is used in subsequent frames to achieve a coherent segmentation through time. Simulation results show that the proposed method is effective in determining object boundaries not easily found using the statistic criterion alone.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.569-582
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• 2015

This study deals with six spa touristy places to analyze the similarity in image and selection factor recognition through multidimensional scaling method. The result is as following. First, as a result of analysis in the similarity in Image of the 6 touristy Spa places, each "Asan and Onyang" and "Suanbo and Ducksan" form different similar image groups. However, Yoosung does not share the similarity in Image that other Spa places own. Second, as a result of analysis of selection factors in the six touristy spa places, it is found out that there is no big difference in selection factors such as 'spa facility', 'a fee to use', and 'quality of service' in the six spa places. Yet, Onyang, Yoosung, Ducksan, and Suanbo spa reflect high selection factor as 'a recognized spa place' different from Asan and Dogo where the reflection of selection factor is low. Onyang, Yoosung, and Dogo regions reflect high selection factor as a 'Touristy destination' while Asan reflects low selection factor.

• Journal of KIISE:Databases
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• v.34 no.6
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• pp.554-563
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• 2007

The e-Marketplace is growing rapidly and providing a more complex relationship between providers and consumers. In recent years, e-Marketplace integration or cooperation issues have become an important issue in e-Business. The e-Catalog is a key factor in e-Business, which means an e-Catalog System needs to contain more large data and requires a more efficient retrieval system. This paper focuses on designing an efficient retrieval system for very large e-Catalogs of large e-Marketplaces. For this reason, a new similarity measure for e-Catalog retrieval based on semantic relationships was proposed. Our achievement is this: first, a new e-Catalog data model based on semantic relationships was designed. Second, the model was extended by considering lexical features (Especially, focus on Korean). Third, the factors affecting similarity with the model was defined. Fourth, from the factors, we finally defined a new similarity measure, realized the system and verified it through experimentation.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.10
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• pp.113-122
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• 1999

When we want to retrieve the most similar image from the image database, the color histogram intersection, shape feature and texture feature comparing method are used as a metric to measure the similarity. In order to increase the accuracy of retrievals, we need to integrate two different features. In this paper, the histogram intersection and shape based block histogram intersection method are used. This method results in a high efficient algorithm that meets a similar accuracy and a relatively fast retrieval speed compared to the method of integration of two different features. The Proposed algorithm is tested on retrievals of image database consisting of various 600 images and we implemented that the proposed algorithm gives fast, high efficiency and reliability compared to others.