• Journal of Educational Research in Mathematics
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• v.8 no.2
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• pp.587-603
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• 1998

Being in Learning-accomplishing rate on mutual cooperation studies of small group by different class, we can find that the sujective class of high group is much more efficient than the compared class of high group and that the subjective class of low group is more efficient than the compared class of low group as times goes. Moreover, in analysis of all directions on mathematical attitude, high group appears to be a great efficient in all areas such as confidence, flexibility, reaction, value, etc. and low group seems to have a little effect, by comparing the subjective class with the compared class. A. The result of a scholastic ability test High group had a great effect in the result of the first (Number and an expression) and second(An equation of a figure) scholastic ability test. As the time of research goes, the difference of average between the subjective class and the compared class has increased. Low group had no effect in the result of the first (Number and an expression) and the second (An equation of figure) scholastic ability test. But the difference of average grade between the subjective class and the compared class proved to be some efficient as time goes. (the first test is 0.94 and the second test is 3.33)We can find that the result of the third test (An exponent and log function) turned out be efficient. B. The change of mathematical attitudeHigh group had a great effect in confidence(+1.21), fiexibility(+1.92), will(-0.06), curiosity(+2.64), reaction(+1.50), value(+1.44). Low group appeared to be a little efficient in comparison between the subjective class and compared class. the average of both the subjective class and the compared class in low group decreased if not the result of pre-test but in that of pose-test. Therefore, we can find that the difference between mathematics of maddle school and that of high school gets bigger in Low group.C. The result of a question examinationAfter this research, the reaction that It is helpful to studying accomplishm- ent is 33.7%, the reaction that It is not helpful is 14.7%. After all, this research appears to be a positive reaction. After this study, the change of studying will seems to be much more not in Low group but in High group.

• Journal of Broadcast Engineering
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• v.21 no.6
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• pp.965-976
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• 2016

Recently studies about audio-visual immersion are being carried out due to development of digital video but studies analysing quantitatively the content or climax of video has not carried out. The paper is analysed quantitatively by using shot size, camera angle, camera direction and camera position, objective & subjective which is general component of video expression. We can see the climax effects in the video destroying the principles because there is a rule when they use the component. This thesis analyses shot-list based on video expression in existing movies therefore it can analyse quantitatively several method commonly used in order to make the climax. These suggesting method that can find the part of climax based on analysis of shot-list can be used when you search the specific part of video like long movie or when you search the genre of the movie or when you index the genre. Also it can be very effective in various information services companies offering climax movie which is searched.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.195-202
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• 2011

Objective: The aim of this study is to investigate and review the previous researches about objective measuring fatigue caused by visual stimuli. Also, we analyze possibility of alternative visual fatigue measurement methods using facial expression recognition and gesture recognition. Background: In most previous researches, visual fatigue is commonly measured by survey or interview based subjective method. However, the subjective evaluation methods can be affected by individual feeling's variation or other kinds of stimuli. To solve these problems, signal and image processing based visual fatigue measurement methods have been widely researched. Method: To analyze the signal and image processing based methods, we categorized previous works into three groups such as bio-signal, brainwave, and eye image based methods. Also, the possibility of adopting facial expression or gesture recognition to measure visual fatigue is analyzed. Results: Bio-signal and brainwave based methods have problems because they can be degraded by not only visual stimuli but also the other kinds of external stimuli caused by other sense organs. In eye image based methods, using only single feature such as blink frequency or pupil size also has problem because the single feature can be easily degraded by other kinds of emotions. Conclusion: Multi-modal measurement method is required by fusing several features which are extracted from the bio-signal and image. Also, alternative method using facial expression or gesture recognition can be considered. Application: The objective visual fatigue measurement method can be applied into the fields of quantitative and comparative measurement of visual fatigue of next generation display devices in terms of human factor.

• Journal of Korean Academy of Nursing
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• v.19 no.1
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• pp.99-107
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• 1989

This study explored differences in how medical and surgical patients compare on the degree of hospital stress and their subjective physical status. Subjects were 343 medical and surgical patients in five university hospitals in Seoul and Taegu. They responded to the Hospital Stress Rating Scale and a self-report on physical status. The controlled variables were age, education, number of previous hospitalizations and seriousness of the illness. Medical and surgical patient differences on nine factors of the hospital stres scale and nine areas of physical conditions were reported as follows edplored : 1. 1) There was not a statistically significant difference at the .05 level in the total mean score for hospital stress between medical patients and surgical patients. 2) The mean score of the factor lack of information (M＝2.308) for medical patients was higher than the mean score (M＝2.064) of the surgical patients. 3) The mean scores of the factor of discomfort (M＝2.130), loss of independence (M＝1.889) for surgical patients were higher than for medical patients. 2. 1) There was a statistically significant difference at the .05 level in the total mean score for physical status between medical patients and surgical patients. 2) The mean scores were lower in subjective physical status for surgical patients(S) than for medical patients (M) ; stomach condition (S : M＝2.8433, M : M＝3.0-000), self-assistance(S : M＝3.0373, M : M＝3.4498), movement (S : M＝2.6716, M : M＝3.2392), interest in your surroundings (S : M＝3.0522, M : M＝3.2632). 3. Patients scoring high on the subjective physical status such as sleep, appetite, stomach condition bowel condition and urination states had higher scores in hospital stress than with patients scoring low on those subjective Physical status. The results suggest that subjective physical status might be on expression of hospital stress. Also patients with high scores in subjective physical statas might be predicted have a high level of stress on admission. And surgical patients had a higher level of hospital stress than medical patients.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.337-351
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• 2021

Automatically recognizing facial expressions in video sequences is a challenging task because there is little direct correlation between facial features and subjective emotions in video. To overcome the problem, a video facial expression recognition method using spatiotemporal recurrent neural network and feature fusion is proposed. Firstly, the video is preprocessed. Then, the double-layer cascade structure is used to detect a face in a video image. In addition, two deep convolutional neural networks are used to extract the time-domain and airspace facial features in the video. The spatial convolutional neural network is used to extract the spatial information features from each frame of the static expression images in the video. The temporal convolutional neural network is used to extract the dynamic information features from the optical flow information from multiple frames of expression images in the video. A multiplication fusion is performed with the spatiotemporal features learned by the two deep convolutional neural networks. Finally, the fused features are input to the support vector machine to realize the facial expression classification task. The experimental results on cNTERFACE, RML, and AFEW6.0 datasets show that the recognition rates obtained by the proposed method are as high as 88.67%, 70.32%, and 63.84%, respectively. Comparative experiments show that the proposed method obtains higher recognition accuracy than other recently reported methods.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.123-138
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• 2004

The objective of this study is to review the expressive effect of fashion illustrations and to enlarge its expressive range by analysing the correlations between fashion illustrations and surrealistic expressive characteristics. The results are as follows. The surrealistic expressive methods of fashion illustration such as depaysement and automatism have been used by many foreign and domestic fashion illustrators. I think that these methods reinforce the subjective aspect of expressive effects and enlarge the transmitting function of fashion message. The elements of expression are divided into color, texture, shape/form and space. Subjective colors rather than natural colors are used for the surrealistic expressive effect of color in fashion illustrations, and illusion of space is expressed by the change of brightness. The surrealistic expressive effect in fashion illustrations distorted the experience of factual texture and disturbed the visual texture. The use of tactile texture presented strange effects perspectively. The objects of shape in fashion illustrations were mainly human body. The form of human body presents reconstituted and reinterpreted figure by transformation or distortion according to the intention of the artist rather than realistic and physical form. In fashion illustration, the transformation of the human body itself whose body parts get separated, superposition of exterior material and human body, and the distortion of human body by the change are done. Space is where background and shapes are inter-penetrated because they are ambiguous and untransparent, and where all are in disorder and unbalance. The method of projection uses distance perspective, multiple perspective and amplified perspective representation, and forms a psychological space feeling. And I think the use of surrealistic expressive methods are very useful for the subjective sensitiveness and the transmission of a fashion message, and presents a possibility to develop a new expressive method.

• Restorative Dentistry and Endodontics
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• v.48 no.2
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• pp.16.1-16.11
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• 2023

Objectives: The aim of this study was to evaluate the influence of peak kilovoltage (kVp) and a metal artifact reduction (MAR) tool on image quality and the diagnosis of vertical root fracture (VRF) in cone-beam computed tomography (CBCT). Materials and Methods: Twenty single-rooted human teeth filled with an intracanal metal post were divided into 2 groups: control (n = 10) and VRF (n = 10). Each tooth was placed into the socket of a dry mandible, and CBCT scans were acquired using a Picasso Trio varying the kVp (70, 80, 90, or 99), and the use of MAR (with or without). The examinations were assessed by 5 examiners for the diagnosis of VRF using a 5-point scale. A subjective evaluation of the expression of artifacts was done by comparing random axial images of the studied protocols. The results of the diagnoses were analyzed using 2-way analysis of variance and the Tukey post hoc test, the subjective evaluations were compared using the Friedman test, and intra-examiner reproducibility was evaluated using the weighted kappa test (α = 5%). Results: The kVp and MAR did not influence the diagnosis of VRF (p > 0.05). According to the subjective classification, the 99 kVp protocol with MAR demonstrated the least expression of artifacts, while the 70 kVp protocol without MAR led to the most artifacts. Conclusions: Protocols with higher kVp combined with MAR improved the image quality of CBCT examinations. However, those factors did not lead to an improvement in the diagnosis of VRF.

• Journal of the Korean Society of Costume
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• v.51 no.8
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• pp.159-170
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• 2001

The culture and society environment plays major role in the development of Fashion and now in the 21st century, interest in Fashion is getting increased along with the rapid progress of advanced media development and information surge. Now it s the time to extend visual efficiency not only transmitting fashion image but also develop a creative product that satisfy the demander s needs. Currently it is very hard to express our subjective Korean "nationalism" in the Fashion since the various expression skill using western fashion illustration are dominant in our society. I have classified two components, fashion illustration and Korean painting in the theoretical circumstance. In fashion illustration circumstance, I examined the concept, usage, expression skill and history referring to historical documents. In Korean painting section, I considered coloring portrait concept, pattern, history, concept, and feature of the four gentlemanly plants. including the basic material of Korean-paper, Writing- Brush, Ink-Stone, Traditional-ink and also the history of itself. I have designed 8 products applying the concept of plum blossoms, orchids, chrysanthemums and bamboos that represent the most important part of the four gentlemanly plants, and also the expression skill of Korean coloring portrait.rait.

• Genomics & Informatics
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• v.18 no.3
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• pp.26.1-26.6
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• 2020

Single-cell RNA sequencing (scRNA-seq) has been widely applied to provide insights into the cell-by-cell expression difference in a given bulk sample. Accordingly, numerous analysis methods have been developed. As it involves simultaneous analyses of many cell and genes, efficiency of the methods is crucial. The conventional cell type annotation method is laborious and subjective. Here we propose a semi-automatic method that calculates a normalized score for each cell type based on user-supplied cell type-specific marker gene list. The method was applied to a publicly available scRNA-seq data of mouse cardiac non-myocyte cell pool. Annotating the 35 t-stochastic neighbor embedding clusters into 12 cell types was straightforward, and its accuracy was evaluated by constructing co-expression network for each cell type. Gene Ontology analysis was congruent with the annotated cell type and the corollary regulatory network analysis showed upstream transcription factors that have well supported literature evidences. The source code is available as an R script upon request.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.126-134
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• 2021

This study was a cross-sectional reaserch that analyzed the effect of emotional expression type on happiness level with structured questionnaires. A total of 186 participants in the study were in their 20s to 60s. Data collection was received from those who voluntarily agreed to the study from September 1 to 15, 2021. The collected data were frequency analysis, t-test, and regression analysis with spss 18.0. As a result of the analysis, it was found that people who perform superficial acts disguised as emotions were less satisfied with their current life (t=-10.482, p<0.01). People who do inner behavior showed high levels of happiness. These results suggest the following: It can be seen that in order to improve effective happiness, it is required to actively and truthfully act in a physical environment.