• Korean Journal of Child Studies
• /
• v.29 no.1
• /
• pp.293-303
• /
• 2008

The purpose of this study was to identify the relationships between children's information processing style and creativity. The subjects were 40 5-year-old kindergarten students in Busan. The K-ABC (Kaufman Assessment Battery for Children, 1987) test and Torrance's TTCT were used to examine the relationships between children's information processing style and creativity. This analysis showed no significant correlation between information processing style and creativity. On the other hand, the sequential processing style affected fluency and the simultaneous processing style affected originality, elaboration, and abstractness of titles.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.9_10 s.146
• /
• pp.1329-1339
• /
• 2005

The purpose of this study was to investigate the effect of consumer knowledge and involvement of apparel products on information processing style. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and Quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Consumer knowledge significantly influenced information processing styles. Rational processing style was significantly influenced by objective knowledge, while experiential processing style was significantly influenced by subjective knowledge. 2. Involvement was related to the subjective knowledge more than objective knowledge. Consumers who had higher interest, social importance and followed latest fashion trends tended to process information more experientially.

• Journal of the Korean Home Economics Association
• /
• v.46 no.9
• /
• pp.125-135
• /
• 2008

The purpose of this study was to examine the effects of young children's age and information processing style in understanding spatial coordinates. For sampling the subjects of this study, Korean version K-ABC Intelligence Test(Moon, Soo-Back, 1997)was conducted with 165 children aged 5-6 who were attending I and G kindergarten in D city. From this pool 30 children who possessed sequential processing style and 30 children who possessed simultaneous processing style were sampled. In order to analyze the understanding of spatial coordinates, a test tool was formulated according to methodology of Blades & Spencer(1989) which was modified. Acquired data was subjected to descriptive and comparative statistical analysis. The following conclusions were arrived at: Firstly, there was significant difference between 5-year-olds and 6-year-olds in understanding spatial coordinates. The 6-year-old group got statistically higher grades than the 5-year-old group in locating a point on the coordinate plane and reading the coordinate numbers. Secondly, there was significant difference between children's information processing style in understanding spatial coordinate. Children with high simultaneous-low sequential processing showed higher performance in locating a point on the coordinate plane and reading coordinate numbers than children with high sequential-low simultaneous processing. Thirdly, after verifying statistical significance of interactivity between young children's age and children's processing strength, there was significant interactive effects in both tasks.

• Journal of Fisheries and Marine Sciences Education
• /
• v.29 no.3
• /
• pp.909-919
• /
• 2017

The purpose of this study was to apply the learning clinic program to the maladjusted children to help the cognitive processing style, sense type and learning strategy. The results were as follows. First, the cognitive processing style of low-grade elementary school children is divided into the concept of sequential low-order style, which analyzes information sequentially and consecutively, concrete thinking style that processes real and direct information coming in from outside, and invisible principle or information. The abstract cognitive thinking style improved after the process before the program proceeded. However, There was no meaningful result in the simultaneous processing cognitive style which had excellent intuition and emotion and likes change. Second, the temporal lobe in which the linguistic activity is viewed, heard and spoken in the sensory type, the function of the occipital lobe in which the character or the language is processed is improved, but the function of the parietal lobe in moving and manipulating the body is not significant. Finally, factors that contribute to learning such as sincerity, learning initiative, study method, study habits, and concentration are helpful in learning and school life.

• Journal of Information Processing Systems
• /
• v.19 no.5
• /
• pp.576-589
• /
• 2023

To upgrade home style recommendations and user satisfaction, this paper proposes a personalized and optimized recommendation algorithm for interior design style based on local social network, which includes data acquisition by three-dimensional (3D) model, home-style feature definition, and style association mining. Through the analysis of user behaviors, the user interest model is established accordingly. Combined with the location-based social network of association rule mining algorithm, the association analysis of the 3D model dataset of interior design style is carried out, so as to get relevant home-style recommendations. The experimental results show that the proposed algorithm can complete effective analysis of 3D interior home style with the recommendation accuracy of 82% and the recommendation time of 1.1 minutes, which indicates excellent application effect.

• Science of Emotion and Sensibility
• /
• v.22 no.4
• /
• pp.65-74
• /
• 2019

Extant research has proposed that the Object-Spatial-Verbal cognitive style can elucidate individual differences in the preference for modality-specific information. However, no studies have yet ascertained whether this type of information processing evinces structural correlations in the brain. Therefore, the current study used voxel-based morphometry (VBM) analyses to investigate individual differences in gray matter volumes based on the Object-Spatial-Verbal cognitive style. For this purpose, ninety healthy young adults were recruited to participate in the study. They were administered the Korean version of the Object-Spatial-Verbal cognitive style questionnaire, and their anatomical brain images were scanned. The VBM results demonstrated that the participants' verbal scores were positively correlated with regional gray matter volumes (rGMVs) in the right superior temporal sulcus/superior temporal gyrus, the bilateral parahippocampal gyrus/fusiform gyrus, and the left inferior temporal gyrus. In addition, the rGMVs in these regions were negatively correlated with the relative spatial preference scores obtained by individual participants. The findings of the investigation provide anatomical evidence that the verbal cognitive style could be decidedly relevant to higher-level language processing, but not to basic language processing.

• Journal of Information Processing Systems
• /
• v.19 no.5
• /
• pp.663-672
• /
• 2023

Most vehicle detection methods have poor vehicle feature extraction performance at night, and their robustness is reduced; hence, this study proposes a night vehicle detection method based on style transfer image enhancement. First, a style transfer model is constructed using cycle generative adversarial networks (cycleGANs). The daytime data in the BDD100K dataset were converted into nighttime data to form a style dataset. The dataset was then divided using its labels. Finally, based on a YOLOv5s network, a nighttime vehicle image is detected for the reliable recognition of vehicle information in a complex environment. The experimental results of the proposed method based on the BDD100K dataset show that the transferred night vehicle images are clear and meet the requirements. The precision, recall, mAP@.5, and mAP@.5:.95 reached 0.696, 0.292, 0.761, and 0.454, respectively.

• Annual Conference of KIPS
• /
• 2014.11a
• /
• pp.466-469
• /
• 2014

기존 Window8 Style 에 대한 디지털 포렌식 연구는 윈도우 기본 애플리케이션에 대해서만 진행되어 있는 상황이고, 다른 3rd party Style App 들에 대해서만 진행되어있는 상황이다. 본 논문에서는 Window8 Style UI 의 Instant Messengers 에 대해 디지털 포렌식 분석하고 이를 통해 범인의 행동 흐름 파악 및 증거확보 매커니즘을 제시하고자 한다. 본 논문은 기존의 Window8 의 접근방법을 토대로 하여, Style App 의 사용흔적이나 내용에 대해 확인하며, 시간정보, 이미지 등 각종 애플리케이션들을 다각적으로 분석한다. 본 논문에서 제안한 접근법은 개별 App 들에 대한 정보를 효율적이고 빠르게 분석하고 사건에 대한 정보를 제공함으로써 범죄수사과정에 도움이 될 것으로 기대된다.

• Annual Conference of KIPS
• /
• 2019.05a
• /
• pp.475-478
• /
• 2019

Although the work of neural style transfer has shown successful applications in transferring the style of a certain type of artistic painting, it is less effective in transferring Oriental paintings. In this paper, we explore three methods which are effective in transferring Oriental paintings. Then, we take a typical network from each method to carry on the experiment, in view of three different methods to Oriental paintings style transfer effect has carried on the discussion.

• Proceedings of the KSPS conference
• /
• 2007.05a
• /
• pp.217-220
• /
• 2007

This study outlines a small-sized dialog style ETRI Korean TTS system which applies a HMM based speech synthesis techniques. In order to build the VoiceFont, dialog-style 500 sentences were used in training HMM. And the context information about phonemes, syllables, words, phrases and sentence were extracted fully automatically to build context-dependent HMM. In training the acoustic model, acoustic features such as Mel-cepstrums, logF0 and its delta, delta-delta were used. The size of the VoiceFont which was built through the training is 0.93Mb. The developed HMM-based TTS system were installed on the ARM720T processor which operates 60MHz clocks/second. To reduce computation time, the MLSA inverse filtering module is implemented with Assembly language. The speed of the fully implemented system is the 1.73 times faster than real time.