• Title/Summary/Keyword: Logistic Map

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Fragile Watermarking Based on LBP for Blind Tamper Detection in Images

  • Zhang, Heng;Wang, Chengyou;Zhou, Xiao
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.385-399
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    • 2017
  • Nowadays, with the development of signal processing technique, the protection to the integrity and authenticity of images has become a topic of great concern. A blind image authentication technology with high tamper detection accuracy for different common attacks is urgently needed. In this paper, an improved fragile watermarking method based on local binary pattern (LBP) is presented for blind tamper location in images. In this method, a binary watermark is generated by LBP operator which is often utilized in face identification and texture analysis. In order to guarantee the safety of the proposed algorithm, Arnold transform and logistic map are used to scramble the authentication watermark. Then, the least significant bits (LSBs) of original pixels are substituted by the encrypted watermark. Since the authentication data is constructed from the image itself, no original image is needed in tamper detection. The LBP map of watermarked image is compared to the extracted authentication data to determine whether it is tampered or not. In comparison with other state-of-the-art schemes, various experiments prove that the proposed algorithm achieves better performance in forgery detection and location for baleful attacks.

Assessment of Chaotic-Threshold Model on Integral Pulse Frequency Modulation for HRV Analysis (심박변이도 해석을 위한 가상 심장박동 발진기의 카오스-임계치 모델 성능 평가)

  • Jeung, Gyeo-Wun;Kim, Jeong-Hwan;Lee, Jeong-Whan;Kim, Kyeong-Seop
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.3
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    • pp.581-586
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    • 2017
  • The well-known Integral Pulse Frequency Modulation (IPFM) cardiac oscillator has been used to generate the heart beat fluctuations as a representation of the modulatory autonomic nervous activity in terms of sympathetic and parasympathetic state. The IPFM model produces heartbeats by integrating the modulated sinusoid signals and applying the threshold of unity or chaotic threshold levels. This study aims at evaluating the performance of IPFM model by analyzing the influence of the threshold level with comparatively applying preset threshold of unity and Logistic-map and Henon-map chaotic-threshold. Based on our simulated results with interpreting the spectral features of Heart Rate Variability (HRV), we can conclude that the IPFM model with preset threshold level of unity can generate the optimal heartbeat variations int the sense of clinically valid heartbeats.

Implementation of Open Moving Object Presentation System Based on GML. (GML기반 개방형 이동체 프리젠테이션 시스템 구현)

  • Kim, Dong-Ho;Kim, Jin-Suk
    • The KIPS Transactions:PartD
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    • v.11D no.6
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    • pp.1239-1246
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    • 2004
  • The integration and union of regional digital map and vehicle location data in e-Logistics which means virtual service architecture based on the Internet among the logistics companies is indispensable clause in order to satisfy the visibility characteristics. Most conventional vehicle monitoring and controlling systems were constructed with individual and mutual exclusive architecture so that there are required lots of cost for sharing and integrating the information among them. In this paper, we design and implement an component-based open system which represent moving object location information as well as digital map using the GML(Geography Markup Language - international standard encoding based on XML). We also test proposed system on the delivery vehicle scenario in e-Logistics environment, and validate its superior in terms of extensibility and interoperability.

Malicious URL Detection by Visual Characteristics with Machine Learning: Roles of HTTPS (시각적 특징과 머신 러닝으로 악성 URL 구분: HTTPS의 역할)

  • Sung-Won HONG;Min-Soo KANG
    • Journal of Korea Artificial Intelligence Association
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    • v.1 no.2
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    • pp.1-6
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    • 2023
  • In this paper, we present a new method for classifying malicious URLs to reduce cases of learning difficulties due to unfamiliar and difficult terms related to information protection. This study plans to extract only visually distinguishable features within the URL structure and compare them through map learning algorithms, and to compare the contribution values of the best map learning algorithm methods to extract features that have the most impact on classifying malicious URLs. As research data, Kaggle used data that classified 7,046 malicious URLs and 7.046 normal URLs. As a result of the study, among the three supervised learning algorithms used (Decision Tree, Support Vector Machine, and Logistic Regression), the Decision Tree algorithm showed the best performance with 83% accuracy, 83.1% F1-score and 83.6% Recall values. It was confirmed that the contribution value of https is the highest among whether to use https, sub domain, and prefix and suffix, which can be visually distinguished through the feature contribution of Decision Tree. Although it has been difficult to learn unfamiliar and difficult terms so far, this study will be able to provide an intuitive judgment method without explanation of the terms and prove its usefulness in the field of malicious URL detection.

A study on the promotion for rail transport in Ui-Wang ICD (의왕 ICD 철도수송 활성화 방안에 대한 연구)

  • Yun, Dong-Hee;Lee, Yong-Sang
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.1603-1614
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    • 2010
  • As the Kyoto protocol and Bali road-map, our country is expected to be included to the emission reduction controlled country of greenhouse gas, so we are now urgent situation to take an action in the level of government. In this research, environment friendly rail logistics and combined transport were treated to meet with the green growth policy of our government. Major problems of Ui-wang ICD suggested in this research are short of yards, unutilized public CY, inconvenience use by non-share holders. It is necessary to improve rail logistic infrastructure, that is, additional expansion of yard, direct operation by KORAIL and regular unloading system are needed. such improvement can not be solved just by the endeavor of business body. Rail logistic infra & Integrated freight terminal has a tendency of SOC, which require tremendous amount of investment, so there are some limit in doing by private sector itself, now it's time to do by the government level. The improvement of rail logistic infrastructure in the level of government is possible by the policy of environment friendly green logistic support which is related with Logistic Policy Basic Law, so government should prepare detailed directives to activate Integrated freight terminal.

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Barriers to Cancer Screening among Medical Aid Program Recipients in the Republic of Korea: A Qualitative Study

  • Lee, Yoon Young;Jun, Jae Kwan;Suh, Mina;Park, BoYoung;Kim, Yeol;Choi, Kui Son
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.589-594
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    • 2014
  • Few studies have examined reasons why those with low socioeconomic status do not adequately receive cancer screening. We therefore conducted a qualitative study to assess the barriers to cancer screening in people with low socioeconomic status, and to examine the reasons why Medical Aid Program (MAP) recipients do not participate in the National Cancer Screening Program (NCSP). A focus group methodology was used. Participants included MAP recipients (men aged 45-79 years, women aged 35-79 years) who had been invited to cancer screening at least twice based on the NCSP protocol, but had not been screened for any cancer from 2009-2012. We recruited participants living in the cities of Goyang and Paju. A total of 23 MAP recipients participated in four focus group discussions, including 12 men and 11 women. In this qualitative study, we identified six barriers to screening: lack of trust in the NCSP and cancer screening units; fear of being diagnosed with cancer; discomfort or pain from the screening procedure; lack of time, lack of knowledge about cancer screening or lack of awareness of the existence of the NCSP; physical disability or underlying disease; and logistic barriers. Interventions such as individualized counseling, letters and reminders, or other individually-targeted strategies, especially for those with lower socioeconomic status are required to increase participation and reduce disparities in cancer screening.

Performance Comparison of the CELM Encryption Algorithm (CELM 암호화 알고리즘의 성능 비교)

  • 박혜련;이종혁
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.3
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    • pp.481-486
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    • 2002
  • In this paper, we propose CELM(Cascade ELM) to improve stability. We could realize as cascade connected each other key value with N degree equation which has a initial value. And we could know to be improved in stability with the nature of Chaos in simulation result. In efficiency, this CELM algorithm identified sire of encrypted code with size of source code and we could know more efficient than existing RSA and ECC. In speed, CELM took average 0.18㎳ degree to encrypt a file. Although it was slower than DES, it was faster than ECC of RSA.

Switching Noise Reduction in Radiated from Three-Phase Induction Motor by Chaotic Random PWM Technique (카오스 랜덤 PWM기법을 이용한 3상 유도모터의 스위칭 소음저감)

  • Kim, J.H.;Jung, Y.G.;Oh, S.Y.;Lim, Y.C.
    • Proceedings of the KIEE Conference
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    • 2004.10a
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    • pp.134-138
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    • 2004
  • 본 연구에서는 카오스 랜덤 PWM(Chaotic Random PWM) 기법에 의한 3상 유도모터의 스위칭 소음 저감에 대하여 다루고 있다. 일반적으로 사용되고 있는 랜덤 발생기로서 선형일치발생기(Linear Congruential Generator : LCG)대신에 로지스트 사상(Logistic Map)의 분기도(Bifurcation Diagram)를 랜덤 발생기로 사용하였다. 카오스 랜덤수 발생기는 80C196 마이크로 콘트롤러가 전담하고 있으며, 80C196으로부터 발생된 카오스랜덤 수와 MAX038에 의하여 삼각파 랜덤 캐리어가 발생되고 있다. 1.5kw급 3상 유도모터 구동 시스템에 카오스 RPWM기법을 적용하여 모터전압 및 전류 그리고 스위칭 소음의 스펙트럼을 고찰하였다. 카오스 RPWM과 LCG에 의한 RPWM의 결과를 각각 비교하였으며 본 연구의 타당성을 입증하였다.

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Characteristics on Inconsistency Pattern Modeling as Hybrid Data Mining Techniques (혼합 데이터 마이닝 기법인 불일치 패턴 모델의 특성 연구)

  • Hur, Joon;Kim, Jong-Woo
    • Journal of Information Technology Applications and Management
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    • v.15 no.1
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    • pp.225-242
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    • 2008
  • PM (Inconsistency Pattern Modeling) is a hybrid supervised learning technique using the inconsistence pattern of input variables in mining data sets. The IPM tries to improve prediction accuracy by combining more than two different supervised learning methods. The previous related studies have shown that the IPM was superior to the single usage of an existing supervised learning methods such as neural networks, decision tree induction, logistic regression and so on, and it was also superior to the existing combined model methods such as Bagging, Boosting, and Stacking. The objectives of this paper is explore the characteristics of the IPM. To understand characteristics of the IPM, three experiments were performed. In these experiments, there are high performance improvements when the prediction inconsistency ratio between two different supervised learning techniques is high and the distance among supervised learning methods on MDS (Multi-Dimensional Scaling) map is long.

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SPATIALLY HOMOGENEOUS GLOBAL PRICE DYNAMICS ON A CHAIN OF LOCAL MARKETS

  • Kim, Yong-In
    • The Pure and Applied Mathematics
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    • v.16 no.2
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    • pp.243-254
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    • 2009
  • The main purpose of this paper is to use the methods of Lattice Dynamical System to establish a global model, which extends the Walrasian evolutionary cobweb model in an independent single local market to the global market evolution over an infinite chain of many local markets interacting each other through a diffusion of prices between them. For brevity of the model, we assume linear decreasing demands and quadratic supplies with naive predictors, and investigate the spatially homogeneous global price dynamics and show that the dynamics is topologically conjugate to that of well-known logistic map and hence undergoes a period-doubling bifurcation route to chaos as a parameter varies through a critical value.

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