• Title/Summary/Keyword: Interactive Method

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System Analysis Method Using Composition and Minimization (합성 및 축소화 기법을 이용한 시스템의 해석 방법)

  • Lee, Wan Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.10
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    • pp.2330-2336
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    • 2013
  • Since many man-made systems consist of autonomous and interactive components, it is intrinsically difficult to analyze their abnormal behavior. The logical analysis of such a system is an indispensable process for high quality and reliable system development. In this paper, we propose an analysis method using two algebraic operations, named composition and minimization. Repetitive composition and minimization of component models with respect to a set of important events produces a new analysis model that has the same input output responses to an environment. An analysis example of the alternating bit protocol demonstrates the effectiveness of the proposed method showing that each message generated at the sender side eventually arrives to a receiver.

Human activity recognition with analysis of angles between skeletal joints using a RGB-depth sensor

  • Ince, Omer Faruk;Ince, Ibrahim Furkan;Yildirim, Mustafa Eren;Park, Jang Sik;Song, Jong Kwan;Yoon, Byung Woo
    • ETRI Journal
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    • v.42 no.1
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    • pp.78-89
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    • 2020
  • Human activity recognition (HAR) has become effective as a computer vision tool for video surveillance systems. In this paper, a novel biometric system that can detect human activities in 3D space is proposed. In order to implement HAR, joint angles obtained using an RGB-depth sensor are used as features. Because HAR is operated in the time domain, angle information is stored using the sliding kernel method. Haar-wavelet transform (HWT) is applied to preserve the information of the features before reducing the data dimension. Dimension reduction using an averaging algorithm is also applied to decrease the computational cost, which provides faster performance while maintaining high accuracy. Before the classification, a proposed thresholding method with inverse HWT is conducted to extract the final feature set. Finally, the K-nearest neighbor (k-NN) algorithm is used to recognize the activity with respect to the given data. The method compares favorably with the results using other machine learning algorithms.

Fuzzy Group Decision Making for Multiple Decision Maker-Multiple Objective Programming Problems

  • Yano, Hitoshi
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.380-383
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    • 2003
  • In this paper, we propose a fuzzy group decision making method for multiple decision maker-multiple objective programming problems to obtain the agreeable solution. In the proposed method, considering the vague nature of human subjective judgement it is assumed that each of multiple decision makers has a fuzzy goal for each of his/her own objective functions. After eliciting the membership functions from the decision makers for their fuzzy goals, total M-Pareto optimal solution concept is defined in membership spaces in order to deal with multiple decision maker-multiple objective programming problems. For generating a candidate of the agreeable solution which is total M-Pareto optimal, the extended weighted minimax problem is formulated and solved for some weighting vector which is specified by the decision makers in their subjective manner, Given the total M-Pareto optimal solution, each of the derision makers must either be satisfied with the current values of the membership functions, or update his/her weighting vector, However, in general, it seems to be very difficult to find the agreeable solution with which all of the decision makers are satisfied perfectly because of the conflicts between their membership functions. In the proposed method, each of the decision makers is requested to estimate the degree of satisfaction for the candidate of the agreeable solution. Using the estimated values or satisfaction of each of the decision makers, the core concept is desnfied, which is a set of undominated candidates. The interactive algorithm is developed to obtain the agreeable solution which satisfies core conditions.

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Emotion Recognition Method for Driver Services

  • Kim, Ho-Duck;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.256-261
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    • 2007
  • Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology developed, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on the reinforcement learning.

Interactive Fluid Simulation Method for Mobile Device (모바일 기기를 위한 실시간 유체 시뮬레이션 엔진)

  • Kim, Do-Yub;Song, Oh-Young;Ko, Hyeong-Seok
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.463-468
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    • 2009
  • This paper proposes a method for extending simulating fluid on mobile device, which was only possible on desktop PC. Fluid simulation is done by solving Navier-Stokes equation numerically, and previous research were mainly focused on numerical stability [1], and realism [2]. However, such methods assume rich computational resources, which is not available on mobile devices. On the other hand, rigid-body solver is the mostly used physically-based technique [3], and only simple height field-based method is released for fluid simulation [4]. To overcome these problems, we proposes a modified incompressible fluid dynamics solver for the mobile device, and also we propose a technique for visualizing fluids on the mobile device.

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A Study on the Interactive acoustic Method of 3D(Three-dimensional)signage Image Contents on Multipurpose stage (공간상의 입체사이니지 영상 콘텐츠 연동형 음향연출기법 연구)

  • Park, Cheon-Il;Yang, Seungyoun;Cha, Jae-Sang
    • Journal of Satellite, Information and Communications
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    • v.12 no.1
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    • pp.107-113
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    • 2017
  • Recently, digital signage is various changes and converging media. It is common to exhibit and guide focusing on information transfer by using the display. Such a method can not express variously changing digital signage. Therefore, we have to find a way to solve the problem of place and structure. In this paper, we experimented the new direction technique. Finally, we are going to propose acoustic direction technique using a microphone to maximize digital signage and intention of delivery by adding an sound reinforcement method to the visual representation.

Systematic Elicitation of Proximity for Context Management

  • Kim Chang-Suk;Lee Sang-Yong;Son Dong-Cheul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.6 no.2
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    • pp.167-172
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    • 2006
  • As ubiquitous devices are fast spreading, the communication problem between humans and these devices is on the rise. The use of context is important in interactive application such as handhold and ubiquitous computing. Context is not crisp data, so it is necessary to introduce the fuzzy concept. The proxity relation is represented by the degree of closeness or similarity between data objects of a scalar domain. A context manager of context-awareness system evaluates imprecise queries with the proximity relations. in this paper, a systematic proximity elicitation method are proposed. The proposed generation method is simple and systematic. It is based on the well-known fuzzy set theory and applicable to the real world applications because it has tuning parameter and weighting factor. The proposed representations of proximity relation is more efficient than the ordinary matrix representation since it reflects some properties of a proximity relation to save space. We show an experiments of quantitative calculate for the proximity relation. And we analyze the time complexity and the space occupancy of the proposed representation method.

S-CODE: A Subdivision Based Coding System for CAD Models

  • Takarada, Yosuke;Takeuchi, Shingo;Kawano, Isao;Hotta, Jun;Suzuki, Hiromasa
    • International Journal of CAD/CAM
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    • v.3 no.1_2
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    • pp.97-109
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    • 2003
  • A large scale polygon models are often used to approximately represent 3D CAD models in Digital Engineering environment such as DMU (Digital Mockups) and network based collaborative design. However, they are not suitable for distribution on the network and for interactive rendering. We introduce a new coding system based on subdivision schemes called S-CODE system. In this system, it is possible to highly compress the model with sufficient accuracy and to view the model efficiently in a level of detail (LOD) fashion. The method is based on subdivision surface fitting by which a subdivision surface and curves which approximate a face of a CAD model are generated. We also apply a subdivision method to analytic surfaces such as conical and cylindrical surfaces. A prototype system is developed and used for evaluation with reasonably complicated data. The results show that the method is useful as a CAD data coding system.

Simulator of Accuracy Prediction for Developing Machine Structures (기계장비의 구조 특성 예측 시뮬레이터)

  • Lee, Chan-Hong;Ha, Tae-Ho;Lee, Jae-Hak;Kim, Yang-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.3
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    • pp.265-274
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    • 2011
  • This paper presents current state of the prediction simulator of structural characteristics of machinery equipment accuracy. Developed accuracy prediction simulator proceeds and estimates the structural analysis between the designer and simulator through the internet for convenience of designer. 3D CAD model which is input to the accuracy prediction simulator would simplified by the process of removing the small hole, fillet and chamfer. And the structural surface joints would be presented as the spring elements and damping elements for the structural analysis. The structural analysis of machinery equipment joints, containing rotary motion unit, linear motion unit, mounting device and bolted joint, are presented using Finite Element Method and their experiment. Finally, a general method is presented to tune the static stiffness at a rotation joint considering the whole machinery equipment system by interactive use of Finite Element Method and static load experiment.

Experimental Evaluation Method for Performance Analysis in Web Application Services (웹 응용 서비스에서 성능 분석을 위한 실험적인 평가 기법)

  • Kim, Namyun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.69-75
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    • 2016
  • The performance of a web application is an essential issue to provide high quality of the services in interactive web environments. On a sudden increase in traffic in a very short span of time, the servers became CPU starved and would become unresponsive. This would lead to a bad experience for the clients of web service. This paper deals with the effects of two configurable software settings of J2EE application servers: the maximum size of the thread pool and the maximum size of database connection pool. In order to figure out the optimum configuration value, this paper builds experimental evaluation method for web performance analysis. Finally, a case study related with the proper experimental method is presented with performance result.