• Title/Summary/Keyword: Unpredictable behavior

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Investigation of Thermal Stress of Continuous Welded Rail on High Speed Railway Bridge (경부고속철도 교량상 장대레일의 온도응력 계측 실험)

  • Kang, Jae-Yoon;Choi, Eun-Suk;Chin, Won-Jong;Lee, Jung-Woo;Kwark, Jong-Won;Kim, Byung-Suk
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.458-461
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    • 2007
  • Recently, the continuous welded rail(CWR) track has been used for less maintenance of the High-speed railway tracks. In case of CWR track, track buckling has always been an unpredictable event under the high compressive stress in rail. The behavior and stress state of CWR track is manily influenced by its thermal variations, and it is important to understand seasonal variations of rail temperature and stress to predict the track stability. This paper describes the in-site measurement for the rail temperature and rail stress, and the correlation between the rail temperature and stress was examined.

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A Study on the Children's behavior at Playgrounds in Apartment Complex (아파트 단지내 어린이 놀이터의 이용행태에 관한 연구)

  • 이용희;박우장
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 1999.04a
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    • pp.137-140
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    • 1999
  • Children usually have an endless curiosity. They sometimes show us some fanciful, various and unpredictable behaviors and they are always in need of enough space to play in, no matter where it might be. Designers have to provide children with a proper space in which they feel free to diffuse their aspirations. Three samples of apartment site in Cheongju city were selected in order to satisfy the purpose of this survey. To figure out the actual use of playground, the extent of preference and satisfaction and the requests for future betterment, this study used questionnaires, photos, interviews and observations. The conclusions of this survey are as follows and it may be expected that the results suggest a kind of guidance for designing playground on apartment sites.

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TIME-DOMAIN TECHNIQUE FOR FRONT-END NOISE SIMULATION IN NUCLEAR SPECTROSCOPY

  • Neamintara, Hudsaleark;Mangclaviraj, Virul;Punnachaiya, Suvit
    • Nuclear Engineering and Technology
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    • v.39 no.6
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    • pp.717-724
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    • 2007
  • A measurement-based time-domain noise simulation of radiation detector-preamplifier (front-end) noise in nuclear spectroscopy is described. The time-domain noise simulation was performed by generating "noise random numbers" using Monte Carlo's inverse method. The probability of unpredictable noise was derived from the empirical cumulative distribution function via the sampled noise, which was measured from a preamplifier output. Results of the simulated noise were investigated as functions of time, frequency, and statistical domains. Noise behavior was evaluated using the signal wave-shaping function, and was compared with the actual noise. Similarities between the response characteristics of the simulated and the actual preamplifier output noises were found. The simulated noise and the computed nuclear pulse signal were also combined to generate a simulated preamplifier output signal. Such simulated output signals could be used in nuclear spectroscopy to determine energy resolution degradation from front-end noise effect.

A Study on the Fractal Attractor Creation and Analysis of the Printed Korean Characters

  • Shon, Young-Woo
    • Journal of information and communication convergence engineering
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    • v.1 no.1
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    • pp.53-57
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    • 2003
  • Chaos theory is a study researching the irregular, unpredictable behavior of deterministic and non-linear dynamical system. The interpretation using Chaos makes us evaluate characteristic existing in status space of system by tine series, so that the extraction of Chaos characteristic understanding and those characteristics enables us to do high precision interpretation. Therefore, This paper propose the new method which is adopted in extracting character features and recognizing characters using the Chaos Theory. Firstly, it gets features of mesh feature, projection feature and cross distance feature from input character images. And their feature is converted into time series data. Then using the modified Henon system suggested in this paper, it gets last features of character image after calculating Box-counting dimension, Natural Measure, information bit and information dimension which are meant fractal dimension. Finally, character recognition is performed by statistically finding out the each information bit showing the minimum difference against the normalized pattern database. An experimental result shows 99% character classification rates for 2,350 Korean characters (Hangul) using proposed method in this paper.

Cytologic and Histologic Findings of Acinic Cell Carcinoma of the Salivary Gland Related to Malignant Behavior - 2 Cases Report - (타액선 선방 세포암종의 악성도와 연관된 세포학적 및 조직학적 소견 - 2예 보고 -)

  • Paeng, Sung-Suk;Chang, Hee-Jin;Suh, Jung-Il;Park, Hyo-Sook
    • The Korean Journal of Cytopathology
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    • v.8 no.1
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    • pp.62-68
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    • 1997
  • Acinic cell carcinoma is a slow-growing solid neoplasm of salivary gland. Although their cytological and histological finding is bland-looking, their biological behavior is unpredictable. We experienced two cases of acinic cell carcinoma of the salivary gland diagnosed by fine needle aspiration biopsy and confirmed by tissue examination. They showed different clinical courses. We compared their cytologic and histologic findings. The first case was a right preauricular mass in a 58 year-old female of 3 years duration. The cytologic smear revealed sheets or small clusters of monotonous cells mimicking normal serous acinar cells with little cellular pleomorphism. She underwent superficial parotid lobectomy. The tumor was a well demarcated 1.5cm sized nodular mass without infiltration into surrounding parenchyme. The second case was a left submandibular mass in a 23 year-old male of 4 years duration. The smear showed more severe pleomorphism of the tumor cells than those of previous case. Excisional biopsy was done. The excised tumor was $5.5{\times}3.5{\times}3cm$ sized multilobulated solid mass with invasion into surrounding parenchyme. The tumor recurred after 20months, thus total excision of the mass and modified radical neck dissection was carried out. From the above findings, cytologic atypism, infiltrative growth pattern and type of initial therapy may be correlated with biologic behavior.

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Design and Empirical Study of an Online Education Platform Based on B2B2C, Focusing on the Perspective of Art Education

  • Hou, Shaopeng;Ahn, Jongchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.726-741
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    • 2022
  • The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

Fashion Behavior and Optimum Stimulation Level of Male and Female University Students (남녀대학생(男女大學生)의 패션행동(行動)과 최적자극수준(最適刺戟水準))

  • Kim, Jin-A;Yoo, Tai-Soon
    • Journal of Fashion Business
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    • v.1 no.2
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    • pp.55-64
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    • 1997
  • This study adapted OSL (Optimum Stimulation Level) to induce the customer's behavior, especially customer's fashion behavior. The purpose of the fashion advertisement was to accelerate the purchasing desire for the clothes by catching the customer's attention. OSL is one of the methods. OSL can satisfy customers' desires using the new stimulation that reveals a customer's individual characters. In general, women are more concern about fashion and sensitive to the clothes of new fashion than men. But nowadays, many of the men are also concern about their appearance and fashion. The differences between men and women in fashion behavior and in each factor, of OSL, especially a relationship between OSL factor and fashion behavior are researched in this study. Such differences analyzed to find the sources that can satisfy their various desires. This study was expected to provide good information to plan advertising strategy in unpredictable market situation. The subjects for this study were 308 male and female university students. Mehrabian and Russell (1974),s ASTS(Arousal Seeking Tendency Scale) was adapted to measure the OSL, and twenty questions regarding fashion leadership and clothing importance released by Kwon, Shin, Lee, are adapted to measure the fashion behavior. An ANOVA was used as statistical analyzing method to find out the difference between men and women in fashion behavior. The relationship between fashion behavior and difference between men and women in OSL factors were measured by MANOVA. Conclusions were as follows; 1. In consciousness degree of fashion leadership and clothing importance in the fashion behavior, women were higher than men. 2. There was a difference between men and women in OSL's each factors in "unusual stimuli" and "sensuality", but there is no significant statistical difference in factors of "change", "risk", "new environment". Therefore women are higher than men in the stimulation level of "unusual stimuli" and" sensuality". 3. Low element of OSL relating to fashion behavior is from "change" and "unusual stimuli". 4. For the relationship between OSL and fashion behavior, fashion leadership and clothing importance were recognized better in the group of higher level of "change" and "unusual stimuli" irrespective of sex. In the case of "change" which is one of OSL factors, High OSL groups were higher than low OSL groups in the consciousness level of the fashion leadership and clothing importance. In men's case, High OSL-Change groups were higher than Low OSL-Change groups in the fashion leadership, but there was no difference between two groups in the consciousness of the clothing importance. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no significant difference between two groups in the clothing importance. In women's case, High OSL-Change groups were superior to Low OSL-Change groups. In the case of "Unusual Stimuli", High OSL groups were superior to Low OSL groups in the fashion leadership, but there was no difference between two groups in the clothing importance.

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Improvement of usability of the refrigerator through behavioral analysis (사용행태 분석에 의한 냉장고 사용편의성 개선)

  • 변재형
    • Archives of design research
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    • v.14 no.2
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    • pp.245-252
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    • 2001
  • On the assumption that the layout of refrigerator for domestic market does not match with the eating habits of the Korean, this study suggests a way of improvement for usability of the refrigerator by re-arranging layout of inner shelves through behavioral analysis with the video ethnography. On the result of analysis, it can be found that the layout of inner shelves of the most refrigerators differs from the habits of cooking and preparing meals of Korean food, so the author propose a new layout to exchange the usage of the 3rd shelf with the vegetable box of the bottom level. It can be effective method to improve the usability by assigning appropriate usage for each shelf. To extract internal design factors of product, which is related to the specific living habits such as a refrigerator, understanding of user behavior must be accomplished at the first stage. The author found that the analysis of user behavior using the video ethnography is useful for this purpose, because it can be used to explore unpredictable design factors from user's real life.

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Unified Detection and Tracking of Humans Using Gaussian Particle Swarm Optimization (가우시안 입자 군집 최적화를 이용한 사람의 통합된 검출 및 추적)

  • An, Sung-Tae;Kim, Jeong-Jung;Lee, Ju-Jang
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.4
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    • pp.353-358
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    • 2012
  • Human detection is a challenging task in many fields because it is difficult to detect humans due to their variable appearance and posture. Furthermore, it is also hard to track the detected human because of their dynamic and unpredictable behavior. The evaluation speed of method is also important as well as its accuracy. In this paper, we propose unified detection and tracking method for humans using Gaussian-PSO (Gaussian Particle Swarm Optimization) with the HOG (Histograms of Oriented Gradients) features to achieve a fast and accurate performance. Keeping the robustness of HOG features on human detection, we raise the process speed in detection and tracking so that it can be used for real-time applications. These advantages are given by a simple process which needs just one linear-SVM classifier with HOG features and Gaussian-PSO procedure for the both of detection and tracking.

Learning Multi-Character Competition in Markov Games (마르코프 게임 학습에 기초한 다수 캐릭터의 경쟁적 상호작용 애니메이션 합성)

  • Lee, Kang-Hoon
    • Journal of the Korea Computer Graphics Society
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    • v.15 no.2
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    • pp.9-17
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    • 2009
  • Animating multiple characters to compete with each other is an important problem in computer games and animation films. However, it remains difficult to simulate strategic competition among characters because of its inherent complex decision process that should be able to cope with often unpredictable behavior of opponents. We adopt a reinforcement learning method in Markov games to action models built from captured motion data. This enables two characters to perform globally optimal counter-strategies with respect to each other. We also extend this method to simulate competition between two teams, each of which can consist of an arbitrary number of characters. We demonstrate the usefulness of our approach through various competitive scenarios, including playing-tag, keeping-distance, and shooting.

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