• Title/Summary/Keyword: Intrusive

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Real-Time Eye Detection and Tracking Under Various Light Conditions (다양한 조명하에서 실시간 눈 검출 및 추적)

  • 박호식;배철수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.2
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    • pp.456-463
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    • 2004
  • Non-intrusive methods based on active remote IR illumination for eye tracking is important for many applications of vision-based man-machine interaction. One problem that has plagued those methods is their sensitivity to lighting condition change. This tends to significantly limit their scope of application. In this paper, we present a new real-time eye detection and tacking methodology that works under variable and realistic lighting conditions. Based on combining the bright-Pupil effect resulted from IR light and the conventional appearance-based object recognition technique, our method can robustly track eyes when the pupils ale not very bright due to significant external illumination interferences. The appearance model is incorporated in both eyes detection and tacking via the use of support vector machine and the mean shift tracking. Additional improvement is achieved from modifying the image acquisition apparatus including the illuminator and the camera.

Experimental investigation of intrusive gravity current in stratified fluid (성층화된 유체 내에서 침입중력류의 실험적 연구)

  • Paik, Joong-Cheol;Son, Shin-Hye
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.173-173
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    • 2012
  • 중력류는 두 유체 사이에서 물질의 종류 또는 온도차로 인한 밀도 차이에 의해 발생되는 유체의 흐름을 말하며, 자연환경에서는 저수지에서의 중층탁류, 사막에서의 모래 폭풍, 하구에서의 염수쐐기 등이 그 예이다. 여름철에 강우가 집중되는 우리나라는 홍수에 의한 범람, 침수 등이 발생할 뿐만 아니라 댐이나 하천, 호수 등에 흙탕물이 유입되어 중간층에 정체하는 중층탁류에 의한 피해가 자주 발생하고 있다. 과거에 중층탁류는 일시적인 현상에 불과하였으나 오늘날에는 인공적으로 형성된 정체성 호수나 하천에서 장기간 체류하여 생태계의 교란과 수질 악화를 초래하고 있다. 중층탁류에 의한 피해를 저감시키기 위해서는 본래 자연 상태의 하천이나 호수와 같이 온도분포가 비선형적으로 성층화 된 상태에서 탁수가 유입되어 중층탁류가 형성되는 과정과 흐름 특성을 이해하는 것이 선행되어야 한다. 본 연구에서는 중력류 흐름 해석을 위한 실험 장치를 개발하였다. 실험 장치 중 수조의 제원은 1200 $700{\times}300mm$이며, 수조 상부에는 가열장치를 설치하였고, 수조 하부에는 냉각장치를 설치하였다. 이들 장치들을 가동하여 깊이에 따른 자연현상에서의 비선형적인 온도 단면을 재현한다. 수리 실험방법은 깊이 방향으로 온도에 따라 비선형적으로 성층화 된 유체 내로 경사가 있는 판을 따라 수조내의 성층화된 유체의 중간 온도 혹은 밀도를 가진 유체를 침입시킨다. 침입유체는 성층화된 유체 내에서 초기에는 중력에 의해 운동량을 갖고 경사면을 따라 일정한 속도로 흘러내려 간다. 이후 바닥으로 하강 한 후 부력에 의해 상승하여 동일한 밀도층의 위치에서 횡방향으로 전파하게 된다. 이 연구에서는 이와 같이 비선형적으로 성층화된 유체 내에서의 침입 중력류의 흐름 특성을 실험적으로 관측하고 분석한다.

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Intrusion Detection System Using the Correlation of Intrusion Signature (침입신호 상관성을 이용한 침입 탐지 시스템)

  • Na Guen-Sik
    • Journal of Internet Computing and Services
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    • v.5 no.2
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    • pp.57-67
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    • 2004
  • In this paper we present the architecture of intrusion detection system that enhances the performance of system and the correctness of intrusion detection. A network intrusion is usually composed of several steps of action taken by the attackers. Each action in the steps can be characterized by its signature. But normal and non-intrusive action can also include the same signature, It can result in incorrect detection. The presented system uses the correlation of series of signatures that consist of an intrusion. So Its decision on an intrusion is highly reliable. And variations of known intrusions can easily be detected without any knowledge of the variations.

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CE-OLSR: a Cartography and Stability Enhanced OLSR for Dynamic MANETs with Obstacles

  • Belghith, Abdelfettah;Belhassen, Mohamed
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.1
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    • pp.270-286
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    • 2012
  • In this paper, we propose a novel routing protocol called the Cartography Enhanced OLSR (CE-OLSR) for multi hop mobile ad hoc networks (multi hop MANETs). CE-OLSR is based on an efficient cartography gathering scheme and a stability routing approach. The cartography gathering scheme is non intrusive and uses the exact OLSR reduced signaling traffic, but in a more elegant and efficient way to improve responsiveness to the network dynamics. This cartography is a much richer and accurate view than the mere network topology gathered and used by OLSR. The stability routing approach uses a reduced view of the collected cartography that only includes links not exceeding a certain distance threshold and do not cross obstacles. In urban environments, IEEE 802.11 radio signals undergo severe radio shadowing and fading effects and may be completely obstructed by obstacles such as buildings. Extensive simulations are conducted to study the performances of CE-OLSR and compare them with those of OLSR. We show that CE-OLSR greatly outperforms OLSR in delivering a high percentage of route validity, a much higher throughput and a much lower average delay. In particular the extremely low average delay exacerbated by CE-OLSR makes it a viable candidate for the transport of real time data traffic in multi hop MANETs.

A Case of Clinical Application of Music Therapy in Patient with PTSD (외상후스트레스장애 환자에 대한 음악요법의 적용 일례)

  • Kwon, Soon-Jae;Yang, Jong-Chul;Park, Tae-Won;Chung, Young-Chul;Chung, Sang-Keun
    • Anxiety and mood
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    • v.8 no.1
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    • pp.50-54
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    • 2012
  • Music therapy had been widely used in the area of psychiatry. However recently, participation of psychiatrist has been decreased, due to recent trends of emphasizing biological psychiatry and rapid effectiveness of pharmacotherapy. A 46 years old male PTSD patient was admitted to psychiatric ward. He has suffered from PTSD symptoms, such as intrusive distressing recollection of his past traffic accident, social avoidance, insomnia and depression. Music therapy, which is conducted by a psychiatrist and a music therapist, was applied. This case suggests the positive role of music therapy in treatment of PTSD and emphasizes the importance of participation of psychiatrist, as an organizer during music therapy.

Vibration Analysis of Bladed Disk using Non-contact Blade Vibration System

  • Joung, Kyu-Kang;Han, Chak-Heui;Kang, Suk-Chul;Kim, Yeong-Ryeon
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.871-876
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    • 2008
  • The blade vibration problem of bladed disk is the most critical subject to consider since it directly affects the stable performance of the engine as well as life of the engine. Especially, due to complicated vibration pattern of the bladed disk, more effort was required for vibration analysis and test. The research of measuring the vibration of the bladed disk, using NSMS(Non-intrusive stress measurement) instead of Aeromechanics testing method requiring slip ring or telemetry system with strain gauge, was successful. These testing can report the actual stresses seen on the blades; detect synchronous resonances that are the source of high cycle fatigue(HCF) in blades; measure individual blade mis-tuning and coupled resonances in bladed disks. In order to minimize the error being created due to heat expansion, the tip timing sensor is installed parallel to the blade trailing edge, yielding optimal result. Also, when working on finite element analysis, the whole bladed disk has gone through three-dimensional analysis, evaluating the family mode. The result of the analysis matched well with the test result.

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Q Learning MDP Approach to Mitigate Jamming Attack Using Stochastic Game Theory Modelling With WQLA in Cognitive Radio Networks

  • Vimal, S.;Robinson, Y. Harold;Kaliappan, M.;Pasupathi, Subbulakshmi;Suresh, A.
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.3-14
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    • 2021
  • Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

Concurrent topology optimization of composite macrostructure and microstructure under uncertain dynamic loads

  • Cai, Jinhu;Yang, Zhijie;Wang, Chunjie;Ding, Jianzhong
    • Structural Engineering and Mechanics
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    • v.81 no.3
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    • pp.267-280
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    • 2022
  • Multiscale structure has attracted significant interest due to its high stiffness/strength to weight ratios and multifunctional performance. However, most of the existing concurrent topology optimization works are carried out under deterministic load conditions. Hence, this paper proposes a robust concurrent topology optimization method based on the bidirectional evolutionary structural optimization (BESO) method for the design of structures composed of periodic microstructures subjected to uncertain dynamic loads. The robust objective function is defined as the weighted sum of the mean and standard deviation of the module of dynamic structural compliance with constraints are imposed to both macro- and microscale structure volume fractions. The polynomial chaos expansion (PCE) method is used to quantify and propagate load uncertainty to evaluate the objective function. The effective properties of microstructure is evaluated by the numerical homogenization method. To release the computation burden, the decoupled sensitivity analysis method is proposed for microscale design variables. The proposed method is a non-intrusive method, and it can be conveniently extended to many topology optimization problems with other distributions. Several numerical examples are used to validate the effectiveness of the proposed robust concurrent topology optimization method.

The Effects of Maternal Anxiety on Overprotection: The Moderating Effects of Young Children's Temperament (어머니의 불안이 과보호 양육에 미치는 영향: 유아 기질의 조절 효과)

  • Somi Yoou;Young Sun Chung
    • Korean Journal of Childcare and Education
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    • v.19 no.4
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    • pp.89-109
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    • 2023
  • Objective: This study examined the moderating effect of young children's temperament on the relationship between maternal anxiety and overprotection. Methods: A total of 250 mothers with 5-year-old children responded to online survey questionnaires, which included questions about maternal anxiety, overprotection, and their children's temperament. Results: The results of the study revealed several important findings. First, maternal anxiety had a positive correlation to the overall level of overprotection and all sub-factors. The correlation between young children's temperament and maternal overprotection had different results depending on the sub-factors of overprotection. Second, there was a significant moderating effect of young children's temperament on the relationship between maternal anxiety and overprotection. That is, When the reactivity of a child was low, the positive effect of maternal anxiety on maternal overprotection was greater. Looking at the sub-factors of overprotection, only reactive temperament showed a significant moderating effect in the relationship between maternal anxiety and intrusive overprotection. On the relationship between maternal anxiety and permissive overprotection, reactivity and adaptability had significant moderating effects. Conclusion/Implications: This study showed that mother's overprotection was associated with varying levels of their own anxiety and children's temperament. These findings offer basic knowledge for development of a program for improving parenting behaviors.

Subsurface anomaly detection utilizing synthetic GPR images and deep learning model

  • Ahmad Abdelmawla;Shihan Ma;Jidong J. Yang;S. Sonny Kim
    • Geomechanics and Engineering
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    • v.33 no.2
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    • pp.203-209
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    • 2023
  • One major advantage of ground penetrating radar (GPR) over other field test methods is its ability to obtain subsurface images of roads in an efficient and non-intrusive manner. Not only can the strata of pavement structure be retrieved from the GPR scan images, but also various irregularities, such as cracks and internal cavities. This article introduces a deep learning-based approach, focusing on detecting subsurface cracks by recognizing their distinctive hyperbolic signatures in the GPR scan images. Given the limited road sections that contain target features, two data augmentation methods, i.e., feature insertion and generation, are implemented, resulting in 9,174 GPR scan images. One of the most popular real-time object detection models, You Only Learn One Representation (YOLOR), is trained for detecting the target features for two types of subsurface cracks: bottom cracks and full cracks from the GPR scan images. The former represents partial cracks initiated from the bottom of the asphalt layer or base layers, while the latter includes extended cracks that penetrate these layers. Our experiments show the test average precisions of 0.769, 0.803 and 0.735 for all cracks, bottom cracks, and full cracks, respectively. This demonstrates the practicality of deep learning-based methods in detecting subsurface cracks from GPR scan images.