• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.57-64
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• 2003

Achieving the beneficiary goal of recent discovery in human genome project still needs a way to retrieve and analyze the exponentially expanding bio-related information. Research on bio-related fields naturally applies knowledge discovered to the current problem and make inferences to extract new information where shared concepts and data containing information need to be defined and used in a coherent way. In such a professional domain, while the need to help users reduce their work and to improve search results has been emerged. methods for systematic retrieval and adequate exchange of relevant information are still in their infancy. The design of our system aims at improving the quality of information retrieval in a professional domain by utilizing both corpus-based and concept-based ontology. Meta-rules of helping users to make an adequate query are formed into an ontology in the domain. The integration of those knowledge permits the system to retrieve relevant information in a more semantic and systematic fashion. This work mainly describes the query models with details of GUI and a secondary query generation of the system.

• 정보처리학회논문지C
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• 제18C권6호
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• pp.441-444
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• 2011

본 논문은 망 상태 정보를 효율적으로 집단화하는 방법을 제시하였다. 이것은 비대칭 망에서 링크의 QoS(Quality of Service) 파라미터가 두개 이상일 때 기존 집단화 방법들이 갖는 정보의 부정확성을 줄이기 위한 방법이다. 제안 방법은 공간 복잡도를 줄이기 위해 다단계 토폴로지 변형 시 토폴로지를 구성하는 논리 링크들의 유사성을 측정, 유사한 링크들의 그룹화 후 통합 과정을 통해 논리 링크들의 정보 왜곡을 줄인다. 이 방법은 서비스경계라인을 논리 링크로 갖는 풀 메쉬 토폴로지를 스패닝 트리 토폴로지로 변형 시 적용한다. 또한 실험을 통하여 기존 방법 보다 집단화된 정보의 정확도와 질의 응답 정확도에서 나은 성능을 가짐을 증명하였다.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.127-136
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• 2021

Real-time human recognition is a challenging task, as the images are captured in an unconstrained environment with different poses, makeups, and styles. This limitation is addressed by generating several facial images with poses, makeup, and styles with a single reference image of a person using Generative Adversarial Networks (GAN). In this paper, we propose deep learning-based human recognition using integration of GAN and Spatial Domain Techniques. A novel concept of human recognition based on face depiction approach by generating several dissimilar face images from single reference face image using Domain Transfer Generative Adversarial Networks (DT-GAN) combined with feature extraction techniques such as Local Binary Pattern (LBP) and Histogram is deliberated. The Euclidean Distance (ED) is used in the matching section for comparison of features to test the performance of the method. A database of millions of people with a single reference face image per person, instead of multiple reference face images, is created and saved on the centralized server, which helps to reduce memory load on the centralized server. It is noticed that the recognition accuracy is 100% for smaller size datasets and a little less accuracy for larger size datasets and also, results are compared with present methods to show the superiority of proposed method.

• 충청수학회지
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• 제34권1호
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• pp.37-53
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• 2021

In this paper we define scaled visual curvature and visual Frenet frame that can be visually accepted for discrete space curves. Scaled visual curvature is relatively simple compared to multi-scale visual curvature and easy to control the influence of noise. We adopt scaled minimizing directions of height functions on each neighborhood. Minimizing direction at a point of a curve is a direction that makes the point a local minimum. Minimizing direction can be given by a small noise around the point. To reduce this kind of influence of noise we exmine the direction whether it makes the point minimum in a neighborhood of some size. If this happens we call the direction scaled minimizing direction of C at p ∈ C in a neighborhood Br(p). Normal vector of a space curve is a second derivative of the curve but we characterize the normal vector of a curve by an integration of minimizing directions. Since integration is more robust to noise, we can find more robust definition of discrete normal vector, visual normal vector. On the other hand, the set of minimizing directions span the normal plane in the case of smooth curve. So we can find the tangent vector from minimizing directions. This lead to the definition of visual tangent vector which is orthogonal to the visual normal vector. By the cross product of visual tangent vector and visual normal vector, we can define visual binormal vector and form a Frenet frame. We examine these concepts to some discrete curve with noise and can see that the scaled visual curvature and visual Frenet frame approximate the original geometric invariants.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.1262-1267
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• 2005

It is still difficult to share and utilize the information generated at each phase of a steel box girder production process due to the spatial gap and different level of management information. The physical distance results in the inefficiency of the information transmission, the accidental omission and typos of the relative information, and so on. Various levels of management information make it difficult to embody a new management system. Eventually, these factors incur the loss of cost and schedule and interrupt development of a new management system. This paper analyzes a current process and presents graphical process flow by using IDEF0. Based this analysis, the research for new production process and work breakdown structure (WBS) is conducted. At the end of this paper, the conceptual design of this system is suggested. Through new management system, it is expected that the model proposed in this study will improve the management process in the steel box production, and the improved process will reduce the redundant cost and schedule information, transmission and deposit generated by manual paper.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2020년도 전력전자학술대회
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• pp.157-159
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• 2020

This paper presents an optimal planar transformer design of a 3-kW Low voltage DC-DC Converter (LDC) with 3.68 kW/L power density for electric vehicle (xEV) application. The transformer is optimized based on the trade-off between footprint and loss using the proposed figure-of-merit (FOM) based optimization. In order to achieve ZVS under entire load range, an external leakage inductance is added and implemented using the proposed magnetic integration technique. A comparison between non-integrated and integrated magnetic core using finite element analysis (FEA) is presented. The result shows that the integrated core can reduce the core loss up to 35 % and core boxed volume up to 15 % compared to the non-integrated core. Experimental results are also provided to validate the proposed magnetic integration technique.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.264-267
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• 2023

The circular economy approach in the coffee supply chain promotes a more sustainable, environmentally friendly, and socially responsible coffee industry. It aims to reduce the environmental impact of coffee production and consumption while ensuring the long-term viability of coffee farming communities and ecosystems. However, there are many challenges in the traditional circular economy coffee supply chain. Hence, this paper undertakes a comparative analysis between the traditional circular economy coffee supply chain and its integration with blockchain. As a result, we display the benefits of incorporating blockchain technology into the conventional circular economy framework of the coffee supply chain. Additionally, this integration promises to overcome the challenges in the traditional circular economy coffee supply chain.

• Design & Manufacturing
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• 제18권2호
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• pp.9-16
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• 2024

Recently, there has been extensive research conducted on the miniaturization of semiconductors and the improvement of their integration to achieve high-quality and high-performance electronic devices. To integrate and miniaturize multiple semiconductors, thin and precise wafers are essential. The backgrinding process, which involves high-precision processing, is necessary to achieve this. The backgrinding system is used to grind and polish the back side of the wafer to reduce its thickness to ㎛ units. This enables the high integration and miniaturization of semiconductors and a flattening process to allow for detailed circuit design, ultimately leading to the production of IC chips. As the backgrinding system performs precision processing at the ㎛ unit, it is crucial to determine the stability of the equipment's rigidity. Additionally, the flatness and surface roughness of the processed wafer must be checked to confirm the processability of the backgrinding system. IIn this paper, the goal is to verify the processability of the back grinding system by analyzing the natural frequency and resonance frequency of the equipment through computer simulation and measuring and analyzing the flatness and surface roughness of wafers processed with backgrinding system. It was confirmed whether processing damage occurred due to vibration during the backgrinding process.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.450-453
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• 2005

A forest fire occurs mainly as natural factor such as wind, temperature or human factor such as light. Recently, the most of forest fire prevention is prediction or prevision against forest fire by using remote sensing technology. However in order to forest fire prevention, the remote sensing has many limitations such as high cost and advanced technologies and so on. Therefore, we need to multisensor integration system that utilize not only remote sensing but also in-situ sensing in order to reduce large damage of forest fire though analysis of happen cause and prediction routing of occurred forest fire. In this paper we propose a multisensor integration system that offers prediction information of factors and route of forest fire by integrates collected data from remote sensor and in-situ sensor for forest fire prevention. The proposed system is based on wireless sensor network for collect observed data from various sensors. The proposed system not only offers great quality information because firstly, raw data level fuse different format of collected data from remote and in-situ sensor but also accomplish information level fusion based on result of first stage. Offered information from our system can help early prevention of factor and early prevision against occurred forest fire which transfer to SMS service or alert service into monitoring interface of administrator.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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• pp.857-860
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• 2007

최근 병원내의 전산화로 인하여 병원의 모든 업무는 의료정보시스템을 통하여 이루어지고 있다. 환자에 대한 진료 기록 및 각종 자료가 전산화되어 환자의 병력사항은 모두 의료정보 데이터베이스에 기록되어 관리되어지고 있다. 이러한 의료정보 시스템은 각 개발회사에 따라 또는 병원 자체적으로 개발된 시스템에 따라 비표준화된 의료정보를 각기 관리하고 있다. 이에 의료정보시스템을 통한 서로 다른 병원간의 정보공유가 원활이 이루어지지 않고 있다. 따라서 본 논문에서는 병원간의 서로 다른 의료정보를 표준화하여 이를 웹 서비스를 이용한 통합 모듈을 제공하는 시스템을 설계하였다. 각각의 의료정보를 표준화할 수 있는 의료정보 데이터베이스를 설계하고, 기존의 각 병원의 의료정보를 활용하기 위하여 데이터베이스 변환기 모듈을 제공한다. 또한, 각각의 병원별로 제안된 통합 시스템 모듈을 웹 서비스를 이용하여 사용함으로써 시간과 비용이 절감된다. 이러한 통합 의료정보를 바탕으로 병원 서로간의 정보를 공유함으로써 업무의 효율성을 증대할 수 있다.