• Title/Summary/Keyword: cross concept

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Online Social Media Review Mining for Living Items with Probabilistic Approach: A Case Study

  • Li, Shuai;Hao, Fei;Kim, Hee-Cheol
    • Smart Media Journal
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    • v.2 no.2
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    • pp.20-27
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    • 2013
  • The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

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An optimal and genetic route search algorithm for intelligent route guidance system (지능형 주행 안내 시스템을 위한 유전 알고리즘에 근거한 최적 경로 탐색 알고리즘)

  • Choe, Gyoo-Seok;Woo, Kwang-Bang
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.2
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    • pp.156-161
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    • 1997
  • In this thesis, based on Genetic Algorithm, a new route search algorithm is presented to search an optimal route between the origin and the destination in intelligent route guidance systems in order to minimize the route traveling time. The proposed algorithm is effectively employed to complex road networks which have diverse turn constrains, time-delay constraints due to cross signals, and stochastic traffic volume. The algorithm is also shown to significantly promote search efficiency by changing the population size of path individuals that exist in each generation through the concept of age and lifetime to each path individual. A virtual road-traffic network with various turn constraints and traffic volume is simulated, where the suggested algorithm promptly produces not only an optimal route to minimize the route cost but also the estimated travel time for any pair of the origin and the destination, while effectively avoiding turn constraints and traffic jam.

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Self-Assembling Adhesive Bonding by Using Fusible Alloy Paste for Microelectronics Packaging

  • Yasuda, Kiyokazu
    • Journal of the Microelectronics and Packaging Society
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    • v.18 no.3
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    • pp.53-57
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    • 2011
  • In the modern packaging technologies highly condensed metal interconnects are typically formed by highcost processes. These methods inevitably require the precise controls of mutually dependant process parameters, which usually cause the difficulty of the change in the layout design for interconnects of chip to-chip, or chip-to-substrate. In order to overcome these problems, the unique concept and methodology of self-assembly even in micro-meter scale were developed. In this report we focus on the factors which influenced the self-formed bumps by analyzing the phenomenon experimentally. In case of RMA flux, homogenous pattern was obtained in both plain surface and cross-section surface observation. By using RA flux, the phenomena were accelerated although the self-formtion results was inhomogenous. With ussage of moderate RA flux, reaction rate of the self-formation was accelerated with homogeneous pattern.

Influencing Factors for Nurses' Problem Solving Ability Related to Dysfunctional Beliefs and Emotion Regulation Strategy (역기능적 신념과 정서조절 양식이 간호사의 문제해결 능력에 미치는 영향)

  • Shin, Yeon Hee
    • Journal of Korean Clinical Nursing Research
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    • v.18 no.3
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    • pp.402-412
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    • 2012
  • Purpose: The purpose of this study was to explore influencing factors of dysfunctional beliefs and emotion regulation strategy for nurses' problem solving ability. Methods: This study was a cross-sectional design with a sample of 745 nurses from 1 university hospital located in Gyeonggido. The scales were Dysfunctional Beliefs Test (70 items), Emotion Regulation Strategy Questionnaire (25 items) and Social Problem Solving Inventory (52 items). The data were analyzed using SPSS 17.0 employing ANOVA, pearson correlation coefficients and multiple regression analysis. Results: The mean score for problem solving ability was 11.26 points. Influencing factors for nurses' problem solving ability were identified as 'active regulation style' in emotion regulation strategy and 'negative concept of social self' in dysfunctional beliefs. Conclusion: It is plausible to assume that dysfunctional beliefs which are vulnerability factors in cognitive variables and emotion regulation strategy affect nurses' problem solving ability.

A Study on Antecedent Variables for Emotional Labor

  • Kim, Kwang-Ji
    • Culinary science and hospitality research
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    • v.20 no.5
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    • pp.71-75
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    • 2014
  • The purpose of this study is to verify antecedent variables that affect emotional labor. The results are as follows. First, display rules positively affected deep acting and negatively affected surface acting. Second, customer contact time positively affected deep acting but did not affect surface acting. Third, the interaction between display rules and customer contact time did not have significant effects on surface acting but negatively affected deep acting. The implications based on these results are as follows. First, theoretically, this study extends the range of leading variables that affect emotional labor and verifies the moderation effects between these variables. Next, practically, this study suggests that presenting harmonious criteria with regards to display rules and customer contact time that fit well into the concept of food service company is a very useful tool to manage emotional labor of the employees. The limitation of this study is that the causal relationship between variables demonstrated in this study cannot be generalized due to convenience sampling and cross sectional research.

Development of 2-frame PTV system and its application to a channel flow (2-프레임 PTV 시스템의 개발 및 채널유동에의 응용)

  • Baek, Seung-Jo;Lee, Sang-Jun
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.22 no.6
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    • pp.874-887
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    • 1998
  • A 2-frame PTV (particle tracking velocimetry) system using the concept of match probability between two consequent image frames has been developed to obtain instantaneous velocity fields. The overall 2-frame PTV system including image pre-processing, tracking algorithm and post-processing routine was implemented to apply to real flows. The developed 2-frame PTV system has several advantages such as high recovery ratio of velocity vectors, low error ratio and small computational time compared with the conventional 4-frame PTV and the FFT-based cross-correlation PIV technique. The 2-frame PTV system was applied to a turbulent channel flow over a rectangular block to check its reliability and usefulness. Total 96 sequential image frames have been captured and processed to get both mean and fluctuating velocity vector fields over the recirculating region. The mean velocity and turbulent intensity profiles were well agreed with hte LDV measurements in the separated region behind the block. Time-averaged reattachment length is about 6.3 times of the block height.

Developing Internet Game Addiction Scale for Children (아동용 인터넷 게임 중독 척도 개발)

  • Kim, Seung Ok;Kim, Hye Soo;Lee, Kyung Ok
    • Korean Journal of Child Studies
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    • v.28 no.6
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    • pp.37-52
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    • 2007
  • This study was planned to develop an Internet Game Addiction Scale for 9- to 12-year-old Korean children. Based on literature review and analysis of counseling cases, the concept of the internet game addiction was defined. Items of the scale were developed and then the content validity of the scale was examined by 20 professionals. Then a preliminary survey of 188 3rd to 6th grade students was made, and the main survey of 699 3rd to 6th grade students throughout Korea. The main results are as follows; [I] Internet Game Addiction Scale consists of 3 factors with 20 items : game-oriented life(6 items), tolerance & mastery loss(7 items), and withdrawal & emotional experience(7 items); [II] appropriateness of item mean and standard deviation was proved, a 3-factor structure confirmed through factorial analysis and cross validation; [III] appropriateness of the scale confirmed through criterion validity and reliability.

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Construction Planning and Design of a Long Tunnel (장대 터널의 계획과 설계)

  • 장석부;윤영훈;김용일;김진한
    • Proceedings of the Korean Geotechical Society Conference
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    • 2000.03b
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    • pp.117-124
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    • 2000
  • This paper presents the construction planning and the detail design of a 16.2 km long railroad tunnel in a mountainous area. Major design conditions for railroad are the single track, loop-typed alinement, and a maximum grade of 24.5$\textperthousand$. A underground station(double track) with a length of 1.1km is located in the middle of the line for train cross-passing. Tunnel is excavated in highly complex geological conditions including faulted areas, abandoned mine works areas, and various rock types such as sandstone, shale, limestone, and coal seam partly. Drilling and blasting method was adopted because it is more flexible than TBM(Tunnel Boring Machine) as a result of risk assessment for geological conditions in this area. Two working adits were planned to adjust the construction schedule and can be used for ventilation and maintenance in operation phase. New material and concept were introduced to the tunnel drain design. They are expected to improve tunnel drain condition and capability. Rational tunnel support design was tried to consider the various tunnel size and purpose and to use the geological investigation results.

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Development of Correlation Based Feature Selection Method by Predicting the Markov Blanket for Gene Selection Analysis

  • Adi, Made;Yun, Zhen;Keong, Kwoh-Chee
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.183-187
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    • 2005
  • In this paper, we propose a heuristic method to select features using a Two-Phase Markov Blanket-based (TPMB) algorithm. The first phase, filtering phase, of TPMB algorithm works by filtering the obviously redundant features. A non-linear correlation method based on Information theory is used as a metric to measure the redundancy of a feature [1]. In second phase, approximating phase, the Markov Blanket (MB) of a system is estimated by employing the concept of cross entropy to identify the MB. We perform experiments on microarray data and report two popular dataset, AML-ALL [3] and colon tumor [4], in this paper. The experimental results show that the TPMB algorithm can significantly reduce the number of features while maintaining the accuracy of the classifiers.

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Verification of Finite Element Model Using the Almen Strip Test and Its Applications to Calculate Residual Stress Distribution (알멘 스트립 시험 모사를 이용한 유한요소모델의 유효성 검증 및 잔류응력분포 계산)

  • Yang, Z.R.;Park, S.H.;Lee, Y.S.
    • Transactions of Materials Processing
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    • v.21 no.3
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    • pp.172-178
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    • 2012
  • We performed a shot peening test and used a 2-D finite element model which predicts the compressive residual stress distribution below the material's surface. In this study, the concept of 'impact cycle' is introduced to account for the irregularity in the shot's impact position during testing. The impact cycle was imbedded in the finite element model. In the shot peening test, shot bombarded a type-A Almen strip surface with different impact velocities. To verify the proposed finite element model, we compared the deformed cross sectional shape of the Almen strips with the shapes computed by the proposed finite element model. Good agreement was noted between measurements and the finite element model predictions. With the verified finite element model, a series of finite element simulations was conducted to compute the residual stress distribution below the material's surface and the characteristics of these distributions are discussed.