• Particle and aerosol research
• /
• v.10 no.1
• /
• pp.33-43
• /
• 2014

A differential mobility analyzer (DMA) has been widely used as a standard tool for classifying nanoparticles with a certain size. More recently, several new types of DMA have been tested in an attempt to produce size-monodisperse nanoparticles. It is a bit surprise to see how simple the working theory of the DMA is. Although the theory was demonstrated quite successful, no one can guarantee whether the theory still works in another geometry of the DMA. In this regard, we first investigated the validity of the theory under various working conditions and then moved to check the validity upon minor change in its design. For the valid test, we compared the results with those obtained from a computational fluid dynamics.

• Tuberculosis and Respiratory Diseases
• /
• v.42 no.6
• /
• pp.951-954
• /
• 1995

Diagnostic procedures in pregnant wowen is limited and is usually delayed, especially so if she is on mechanical ventilation. A 28-year-old pregnant woman with severe dyspnea was referred to our hospital under the impression of miliary tuberculosis. The respiratory failure was so severe that patient had to be managed with mechanical ventilator under clinical impression of overwhelming pneumonia or pulmonary tuberculosis. But the patient's conditions deteriorated. Bronchoscopy and blind transbronchial lung biopsy performed to determine the nature of the etiology, and to our surprise, revealed squamous cell carcinoma of the lung.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.10
• /
• pp.3498-3512
• /
• 2021

This article describes how events that make up text stories can be represented and extracted. We also address the results from our simple experiment on extracting and clustering events in terms of emotions, under the assumption that different emotional events can be associated with the classified clusters. Each emotion cluster is based on Plutchik's eight basic emotion model, and the attributes of the NLTK-VADER are used for the classification criterion. While comparisons of the results with human raters show less accuracy for certain emotion types, emotion types such as joy and sadness show relatively high accuracy. The evaluation results with NRC Word Emotion Association Lexicon (aka EmoLex) show high accuracy values (more than 90% accuracy in anger, disgust, fear, and surprise), though precision and recall values are relatively low.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.197-200
• /
• 2014

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image. The proposed method produces good results of facial expression and discriminates risk situation well.

• Communications of the Korean Mathematical Society
• /
• v.37 no.3
• /
• pp.681-692
• /
• 2022

Special functions and Geometric function theory are close related to each other due to the surprise use of hypergeometric function in the solution of the Bieberbach conjecture. The purpose of this paper is to provide a set of sufficient conditions under which the normalized four parametric Wright function has lower bounds for the ratios to its partial sums and as well as for their derivatives. The sufficient conditions are also obtained by using Alexander transform. The results of this paper are generalized and also improved the work of M. Din et al. [15]. Some examples are also discussed for the sake of better understanding of this article.

• Journal of Information Science Theory and Practice
• /
• v.11 no.1
• /
• pp.49-60
• /
• 2023

This study endeavors to answer four research questions: (a) Who are the celebrities? (b) How popular are they? (c) What do they post on social media platforms? (d) How do their followers react to them? Following quantitative methods, this study analyzes the top 195 Facebook celebrities of Bangladesh and their 9,441 Facebook posts' interactions. The result suggests that actors, music-related celebrities, and sports stars are the most popular celebrities. While male celebrities have a higher frequency, female celebrities have higher average followers than their male counterparts. Celebrities mostly share photos on Facebook, perhaps to recreate their public images and provide regular updates to their followers. The followers also engage the most in photos with affection and surprise reactions. Their reactions to celebrities' Facebook content are highly positive. Some strengths and limitations of this study are also discussed.

• Journal of Electrical Engineering and information Science
• /
• v.1 no.1
• /
• pp.91-97
• /
• 1996

This paper proves by straightforward computation an interesting property of a recursive indexing: it preserves the entropy of a geometrically-distributes stationary memoryless source. This result is a pleasant surprise because the recursive indexing though one-to-one, is a symbol-to-string mapping and the entropy is measured in terms of the source symbols. This preservation of the entropy implies that the minimum average number of bits needed to represent a geometric memoryless source by the recursive indexing followed by a good binary encoder of a finite imput alphabet remains the same as that by a good encoder of an infinite input alphabet. Therefore, the recursive indexing theoretically keeps coding optimality intact. For this reason recursive indexing can provide an interface for a binary code with a finite code book that performs reasonably well for a source with an infinite alphabet.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2008.11a
• /
• pp.270-276
• /
• 2008

The purpose of this study is to deal with fire fighting safety education primarily among the fields of child safety education. So, first of all, this study considered the theoretical background of fire fighting safety education. And this study analyzed the present state and cases of safety accidents in elementary schools. And by focusing on the fire fighting science class for elementary schools which Gyeonggi-do Goyang fire station is executing now, this study analyzed the educational outline, present state, educational goal, and content of fire fighting science class, and conducted the satisfaction survey through questionnaire over the elementary school students participating in fire fighting science class and the fire fighting officers in charge of fire fighting science class. On basis of this research, by developing the new field of fire fighting education and publicity into the program which can diffuse the fire fighting-related chemical experiment based on the science of chemistry and physics in the future and so provide the pleasure and surprise of experiencing directly not only natural fire fighting education and publicity but also learning and the common sense of fire fighting, this study tried to present the alternatives about the measures for activating the fire fighting safety education in elementary schools.

• Science of Emotion and Sensibility
• /
• v.15 no.4
• /
• pp.503-516
• /
• 2012

According to the researches of robot and software agent until now, computational emotion model is dependent on system, so it is hard task that emotion models is separated from existing systems and then recycled into new systems. Therefore, I introduce the Engine of computational Emotion model (shall hereafter appear as EE) to integrate with any robots or agents. This is the engine, ie a software for independent form from inputs and outputs, so the EE is Emotion Generation to control only generation and processing of emotions without both phases of Inputs(Perception) and Outputs(Expression). The EE can be interfaced with any inputs and outputs, and produce emotions from not only emotion itself but also personality and emotions of person. In addition, the EE can be existed in any robot or agent by a kind of software library, or be used as a separate system to communicate. In EE, emotions is the Primary Emotions, ie Joy, Surprise, Disgust, Fear, Sadness, and Anger. It is vector that consist of string and coefficient about emotion, and EE receives this vectors from input interface and then sends its to output interface. In EE, each emotions are connected to lists of emotional experiences, and the lists consisted of string and coefficient of each emotional experiences are used to generate and process emotional states. The emotional experiences are consisted of emotion vocabulary understanding various emotional experiences of human. This study EE is available to use to make interaction products to response the appropriate reaction of human emotions. The significance of the study is on development of a system to induce that person feel that product has your sympathy. Therefore, the EE can help give an efficient service of emotional sympathy to products of HRI, HCI area.

• Anxiety and mood
• /
• v.7 no.2
• /
• pp.113-118
• /
• 2011

Objectives : The Self-Assessment Manikin (SAM) developed by Bradley and Lang is a non-verbal pictorial assessment tool that measures human emotion and has been widely used. However, the pictures in SAM have not been easy for Korean subjects to understand or relate to. The authors developed a new manikin (Emotional Valence and Arousal Manikin, EVAS) modeling it after Korean faces while modifying and standardizing the SAM. Methods : Forty-one healthy subjects participated in this study. They were asked to rate the emotional valence and level of arousal using both the SAM and EVAS after being exposed to pictures of facial expressions for affective neurosciences-Korean version. The internal consistency of the EVAS and the correlation between EVAS and SAM were examined. Resuts : Internal consistencies of the valence using the EVAS were from 0.63 (surprise) to 0.82 (happiness) and those of the arousal were from 0.90 to 0.95. Correlation coefficients of the valence and arousal between the SAM and EVAS were from 0.61 (both surprise and disgust) to 0.84 (neutral) and from 0.82 (sadness) to 0.94 (fear), respectively. Conclusions : We developed a new manikin (the EVAS) for the Korean population modifying and standardizing the SAM. The EVAS demonstrated a good internal consistency and validity. As such, it can be used in the field of human emotion research.