• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.445-448
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• 2003

In this paper, we present a hierarchical approach of an enhanced active shape model for video tracking. Kalman filter is used. To estimate a dynamic shape in video object tracking. The experimental results show that the proposed hierarchical active shape model using Kalman filter is efficient.

• Archives of design research
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• v.15 no.1
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• pp.113-122
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• 2002

This thesis is focused on online education and proposes a guideline for selecting teaming theories and multimedia representation without difficulty. On the first, consideration of learning theories and analysis of multimedia properties are made, and from these results guidelines are formed. Then they are applied to each 6 types of CAI. Objectivism and constructivism could be used for the basic framework of CAI. The former is suitable for reed, sequential, structural, and passive learning style and the latter is suitable for selectable, unstructural, active, self-controled, learning style. And the quideline for selecting multimedia representation is made out of the properties of media, learners(cognitive model, proficiency, acceptance), and teaming contents. On the basis of guideline obtaining from the previous process, I suggest mosts suitable conditions for each 6 types of CAI available today. Those conditions are consist of learning theories, media selection, levels of learners, and categories and properties of teaming contents.

• Journal of the korean Society of Automotive Engineers
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• v.16 no.3
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• pp.19-29
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• 1994

본 연구에서는 상태방정식과 출력방정식에 외란항을 포함하게 된다. 최적조건을 이용하여 외란항을 포함한 리카티 방정식을 유도하고 그로부터 제어로직을 얻을 수 있다. 본 연구에서의 차량 모델링은 스프링 위 질량 3자유도와 스프링 아래 질량 4자유도 운전석의 연직방향 1자유도를 포함한 총 자유도의 선형모델로 하였다. 또 본 연구에서는 예견제어를 이용하였는데 차량앞에 미리 도로면의 정보를 인식할 수 있는 가상적인 측정장치가 있다고 가정하였다. 결과에서는 기존의 수동형 현가장치와 최적제어를 이용한 능동형 현가장치를 구분하고, 예견시간에 따른 차량의 성능을 비교 분석하였다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.5
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• pp.64-72
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• 2007

In this paper we proposed a combined active contour model and motion estimation-based object tracking technique. After assigning the initial contour, we find the object's boundary and update the initial contour by using object's motion information. In the following frames, similar snake algorithm is repeated to make continuously estimated object's region. The snake algerian plays a role in separating the object from background, while motion estimation provides object's moving direction and displacement. The proposed algorithm provides equivalently stable, robust, tracking performance with significantly reduced amount of computation, compared with the existing shape model-based algorithms.

• Information Systems Review
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• v.14 no.2
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• pp.1-19
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• 2012

Recently due to the enhancement of education and lifestyle, the trend of healthcare services are changed to a more active and differentiated service in which a continuous self health care is possible. The Smart-Telemedicine system offers medical services by merging Blue-tooth and telecommunication modules to former blood pressure, blood sugar, heartbeat and temperature measuring devices. Moreover, it could analyze one's health pattern which would be helpful for the patient to prevent potential future illness. In addition, the easier accesses to various remote controllable medical check-up programs are offered to public as a number of available smart phone are rapidly escalating. The Smart-Telemedicine system provides the most ideal interactive medical service via accessible smart phones and mobile medical check-up devices at anywhere and anytime. It is very beneficial since it can save patients' time and money because people can reach to the service right at their home and be allowed to take charge of their health care process via longitudinal health data. Therefore, not only social costs that occur in elderly community would be saved, but also business in various forms of medical service field transactions could be possible. This paper will suggest the Smart-Telemedicine System for preventive medicine, its design and analysis of business models and the evaluation of those model.

• Convergence Security Journal
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• v.23 no.1
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• pp.19-25
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• 2023

The current network environment provides a real-time interactive service from an initial one-way information prov ision service. Depending on the form of web-based information sharing, it is possible to provide various knowledge a nd services between users. However, in this web-based real-time information sharing environment, cases of damage by illegal attackers who exploit network vulnerabilities are increasing rapidly. In particular, for attackers who attempt a phishing attack, a link to the corresponding web page is induced after actively generating a forged web page to a user who needs a specific web page service. In this paper, we analyze whether users directly and actively forge a sp ecific site rather than a passive server-based detection method. For this purpose, it is possible to prevent leakage of important personal information of general users by detecting a disguised webpage of an attacker who induces illegal webpage access using traceback information

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.23-34
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• 2004

In this paper we propose a feature point tracking algorithm using optical flow under non-prior taming active feature model (NPT-AFM). The proposed algorithm mainly focuses on analysis non-rigid objects[1], and provides real-time, robust tracking by NPT-AFM. NPT-AFM algorithm can be divided into two steps: (i) localization of an object-of-interest and (ii) prediction and correction of the object position by utilizing the inter-frame information. The localization step was realized by using a modified Shi-Tomasi's feature tracking algoriam[2] after motion-based segmentation. In the prediction-correction step, given feature points are continuously tracked by using optical flow method[3] and if a feature point cannot be properly tracked, temporal and spatial prediction schemes can be employed for that point until it becomes uncovered again. Feature points inside an object are estimated instead of its shape boundary, and are updated an element of the training set for AFH Experimental results, show that the proposed NPT-AFM-based algerian can robustly track non-rigid objects in real-time.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.63-68
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• 2020

This paper proposes a face authentication system based on deep learning framework. The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm. The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images. The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification. The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.

• The Journal of the Acoustical Society of Korea
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• v.20 no.3
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• pp.91-97
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• 2001

Since the new field information of target signal is important in the development and verification of active sonar system, experimental method and simulation technique are widely used in order to analyze the detail characteristics of target scattered echoes. Therefore, in this paper, the scale target experiment is performed to develope and Improve the target signal simulation model. Since the experimental results show that the specular reflection is the major component among scattering mechanisms, the target signal simulation model based on the Geometric Optics Theory (GOT) is developed. Complex target is separated into simple shapes, known as canonical shape. The contribution from individual canonical shapes are summed with proper phase and amplitude to produce the target strength of the whole complex body. Simulated target signal is compared with the experimental results and discussed.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.269-272
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• 2004

비즈니스 프로세스 관리(BPM)는 프로세스의 모델링, 분석, 실행에 이르는 비즈니스 프로세스 전 라이프 사이클을 지원하고자 하는 개념으로, 급변하는 경영 환경의 변화에서 기업의 경쟁력을 재고하기 위하여 필요로 되는 새로운 기업 컴퓨팅 패러다임이다. 비즈니스 프로세스 관리의 개념을 도입함으로써 기업들은 조직의 프로세스를 능동적이고 빠르게 (재)설계하고 수행할 수 있으며, 기업간 M&A 및 전략적 제휴를 효율적으로 수행할 수 있다. 기업간 협업이 이루어지기 위해서는 그들 간의 프로세스의 교류 및 통합이 필수적이다. 통합의 한 수단으로 여러 프로세스에 관련된 Data들을 Rule의 형태로 표현하여 관리할 수 있다. 본 연구에서는 워크플로, BPMS 등의 환경에서 비즈니스 Rule을 포함하는 비즈니스 프로세스 수행시에 관리해야 할 제약조건을 통합 관리할 수 있는 방법론을 제시한다. 비즈니스 프로세스를 수행하면서 체크해야 할 제약조건들을 규명한후 이들을 표현할 수 있는 프로세스 기반의 트리거 모델을 제시한다. 또한 본 방법론의 실현 가능성을 보여주기 위해 예제와 함께 프로토타입 시스템을 구현하였고 Performance 측면에서는 제한적이기는 하지만 DB에 기반한 제약조건 관리방법과의 비교를 통해서 본 연구에서 제안하고 있는 방법의 우수성을 보여준다. 본 연구에서 제안하는 방법론은 Workflow 및 BPMS와 같은 프로세스 관리 시스템에서 통합의 수단으로 사용되고 있는 EAI 등을 보완해 줄수 있는 툴로써 활용가능하리라 기대된다.