• Title/Summary/Keyword: Multi-class

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Online Game Identity Theft Detection Model based on Hacker's Behavior Analysis (온라인게임 계정도용 탐지모델에 관한 연구)

  • Choi, Hwa-Jae;Woo, Ji-Young;Kim, Huy-Kang
    • Journal of Korea Game Society
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    • v.11 no.6
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    • pp.81-93
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    • 2011
  • Identity theft happens frequently in popular MMORPG(Massively Multi-player Online Role Playing Games) where profits can be gained easily. In spite of the importance of security about identity theft in MMORPG, few methods to prevent and detect identity theft in online games have been proposed. In this study, we investigate real identity theft cases of an online game and define the representative patterns of identity theft as the speedy type, cautious type, and bold type. We then propose the automatic identity theft detection model based on the multi-class classification. We verify the system with one of the leading online games in Korea. The multi-class detection model outperforms the existing binary-class one(hacked or not).

Delay Performance of Multi-Service Network with Strict Priority Scheduling Scheme

  • Lee, Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.2B
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    • pp.11-20
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    • 2005
  • Strict priority scheduling scheme is a good candidate for the implementation of service differentiation in an Internet because of simplicity in implementation and the capability to guarantee the delay requirement of the highest class of traffic. However, it is also blown that strict priority starves the lower-class traffic at the cost of prioritizing the higher-class traffic. The purpose of this work is to propose an analytic method which can estimate the average delay performance of Diffserv service architecture and shows that strict priority scheme does not sacrifice the lower class traffic over a diverse condition of the load. From the numerical experiments for three-class Diffserv network we validate our argument that strict priority scheme may be applied to a service differentiation scheme for the future Internet.

Multi-variate Fuzzy Polynomial Regression using Shape Preserving Operations

  • Hong, Dug-Hun;Do, Hae-Young
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.1
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    • pp.131-141
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    • 2003
  • In this paper, we prove that multi-variate fuzzy polynomials are universal approximators for multi-variate fuzzy functions which are the extension principle of continuous real-valued function under $T_W-based$ fuzzy arithmetic operations for a distance measure that Buckley et al.(1999) used. We also consider a class of fuzzy polynomial regression model. A mixed non-linear programming approach is used to derive the satisfying solution.

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Estimation of Mean Using Multi Auxiliary Information in Presence of Non Response

  • Kumar, Sunil;Singh, Housila P.
    • Communications for Statistical Applications and Methods
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    • v.17 no.3
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    • pp.391-411
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    • 2010
  • For estimating the mean of a finite population, three classes of estimators using multi-auxiliary information with unknown means using two phase sampling in presence of non-response have been proposed with their properties. Asymptotically optimum estimator(AOE) in each class has been identified along with their mean squared error formulae. An empirical study is also given.

The relationship between emotional intelligence and cultural competency of dental hygiene students (치위생(학)과 학생의 감성지능과 문화 역량과의 관련성)

  • Park, Min-Seon;Jang, Jong-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.18 no.3
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    • pp.385-397
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    • 2018
  • Objectives: The study was a cross-sectional research to examine dental hygiene students' multi-cultural experiences, emotional intelligence and cultural competency and to understand the correlations among them. Methods: The study was conducted from September $1^{st}$ to October $31^{st}$ 2016, based on the survey of 449 students in the department of dental hygiene at 7 Universities. The questionnaire consisted of 57 questions including general characteristics (n=7), multi-cultural experiences (n=7), emotional intelligence (n=16) and cultural competency (n=27). Results: Each score of students' emotional intelligence and cultural competency is 3.43 and 3.01 respectively in 5-point scale. An analysis of correlations between emotional intelligence and cultural competency shows that the higher the emotional intelligence, the higher the cultural competency (r=0.342). The factors affecting the cultural competency include use of emotions (${\beta}=0.327$, p<0.001), control of emotions (${\beta}=0.254$, p=0.001), frequency of multi-cultural media (${\beta}=0.221$, p<0.001) and experience of multi-cultural class (${\beta}=0.221$, p=0.002). The modified explanatory power in this model is 28.2% (F=10.856, p<0.001). Conclusions: There was a positive correlation between emotional intelligence and cultural competency, and the contacts with multi-culture and experience of class are identified as the affecting factors. Dental hygiene students should acquire theoretical experiences regarding the multi-culture through curriculum or continuous educations and it is necessary to promote such educations in order to develop and apply the programs for the enhancement of emotional intelligence.

Multi-level thresholding using Entropy-based Weighted FCM Algorithm in Color Image (Entropy 기반의 Weighted FCM 알고리즘을 이용한 컬러 영상 Multi-level thresholding)

  • Oh, Jun-Taek;Kwak, Hyun-Wook;Kim, Wook-Hyun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.6
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    • pp.73-82
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    • 2005
  • This paper proposes a multi-level thresholding method using weighted FCM(Fuzzy C-Means) algorithm in color image. FCM algerian determines a more optimal thresholding value than the existing methods and can extend to multi-level thresholding. But FCM algerian is sensitive to noise because it doesn't include spatial information. To solve the problem, we can remove noise by applying a weight based on entropy that is obtained from neighboring pixels to FCM algerian. And we determine the optimal cluster number by using within-class distance in code image based on the clustered pixels of each color component. In the experiments, we show that the proposed method is more tolerant to noise and is more superior than the existing methods.

The Effects of Ego Strength, Failure Tolerance, and Performance Anxiety on School-Age Children's School Class Adjustment: A Focus on Gender Differences (자아강도, 실패내성 및 수행불안이 학령기 아동의 학교수업적응에 미치는 영향: 성별에 따른 차이를 중심으로)

  • Kim, Se Young
    • Korean Journal of Child Studies
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    • v.37 no.2
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    • pp.13-25
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    • 2016
  • Objective: The purposes of this study were to examine the effects of school-age children's ego strength, failure tolerance, and performance anxiety on their school class adjustment, and to model the relation structure of the variables. Method: For these purposes, a questionnaire survey was conducted with 562 6th graders. Results and Conclusion: The results of this study are summarized as follows. First, ego strength, failure tolerance, and performance anxiety were significantly different according to gender. Second, in male students, ego strength, failure tolerance, and performance anxiety had a significant direct effect on school class adjustment. In addition, ego strength and failure tolerance had a significant indirect effect on school class adjustment. Third, female students' paths to school class adjustment were similar to male students' but the effect of failure tolerance on performance anxiety and the effect of performance anxiety on school class adjustment were not significant. Fourth, in the results of multi-group analysis, the effect path from ego strength to school class adjustment was different between male and female students, and the effect was higher in female students than in male students.

Joint Scheduling and Rate Optimization in Multi-channel Multi-radio Wireless Networks with Contention-based MAC

  • Bui, Dang Quang;Choi, Myeong-Gil;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1716-1721
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    • 2008
  • Currently, Wireless Networks have some nice characteristics such as multi-hop, multi-channel, multi-radio, etc but these kinds of resources are not fully used. The most difficulty to solve this issue is to solve mixed integer optimization. This paper proposes a method to solve a class of mixed integer optimization for wireless networks by using AMPL modeling language with CPLEX solver. The result of method is scheduling and congestion control in multi-channel multi-radio wireless networks.

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An Efficient One Class Classifier Using Gaussian-based Hyper-Rectangle Generation (가우시안 기반 Hyper-Rectangle 생성을 이용한 효율적 단일 분류기)

  • Kim, Do Gyun;Choi, Jin Young;Ko, Jeonghan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.2
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    • pp.56-64
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    • 2018
  • In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.

Dual-Band Class F Power Amplifier using CRLH-TLs for Multi-Band Antenna System (다중밴드 안테나 시스템을 위한 CRLH 전송선로를 이용한 이중대역 Class F 전력증폭기)

  • Kim, Sun-Young;Seo, Chul-Hun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.12
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    • pp.7-12
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    • 2008
  • In this paper, a highly efficiency power amplifier is presented for multi-band antenna system. The class F power amplifier operating in dual-band designed with one LDMOSFET. An operating frequency of power amplifier is 900 MHz and 2.14 GHz respectively Matching networks and harmonic control circuits of amplifier are designed by using the unit cell of composite right/left-handed(CRLH) transmission line(TL) realized with lumped elements. The CRLH TL can lead to metamaterial transmission line with the dual-band holing capability. The dual-band operation of the CRLH TL is achieved by the frequency offset and the nonlinear phase slope of the CRLH TL for the matching network of the power amplifier. Because the control of all harmonic components for high efficiency is very difficult, we have controled only the second- and third-harmonics to obtain the high efficiency with the CRLH TL. Also, the proposed power amplifier has been realized by using the harmonic control circuit for not only the output matching network, but also the input matching network for better efficiency.