• 지능정보연구
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• 제13권4호
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• pp.91-104
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• 2007

온톨로지 매칭 기술은 시맨틱 웹을 비롯한 여러 분야에서 중요한 기술 중 하나이다. 온톨로지 매칭은 두 개의 온톨로지를 입력으로 받고, 이를 몇 개의 매개변수로 구성된 특정 알고리즘을 이용하여 두 온톨로지 간의 매칭 관계를 알아내는 절차를 말한다. 온톨로지 매칭은 대용량 온톨로지의 통합이나, 지능화된 통합 검색의 구현 및 여러응용프로그램에 의한 도메인의 공유 등 여러 분야에서 유용하게 활용될 수 있다. 일반적으로 온톨로지 매칭의 성능은 온톨로지 매칭이 사용되는 환경과 관계없이 매칭 결과에 대한 측정만으로 평가되어 왔다. 따라서 대부분의 연구는 매칭 결과를 최적화하기 위해 매개변수를 조절하는 것에 집중하였다. 본 연구에서는 기존의 측정방법에 따른 높은 측정결과만을 목표로 하지 않고 온톨로지의 성격과 매칭 결과의 사용 목적에 따라 매개변수를 적절히 변화시켜야 한다는 점에 주목하고, 주어진 환경에 맞게 매개변수를 조정하는 방법론을 제안하고자 한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.204-204
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• 2016

Thailand had set the National Water Management Strategy which covered main six areas in the next 12 years, i.e., by priority: (1) water for household, (2) water for agricultural and industrial production, (3) water for flood and drought management, (4) water for quality issue, (5) water from forest conservation and soil erosion protection, (6) water resources management. However due to the climate change impact, there is a question for all strategies is whether to complete this mission under future climate change. If the impact affects our target, we have to clarify how to mitigate or to adapt with it. Vulnerability assessment was conducted under the framework of ADB's (with the parameters of exposure, sensitivity and adaptive capacity) and the assessments were classified into groups due to their different characteristic and the framework of the National Water Management Strategy, i.e., water supply (rural and urban), water for development (agriculture and others), water disasters (floods (flash, overflow), drought, water quality). The assessments identified the parameters concerned and weight factors used for each groups via expert group discussions and by using GIS mapping technology, the vulnerability maps were produced. The maps were verified with present water situation data (floods, drought, water quality). From the analysis result of this water resources management strategy, we found that 30% of all projects face the big impacts, 40% with low impact, and 30% for no impact. It is clear that water-related agencies have to carefully take care approximately 70% of future projects to meet water resources management strategy. It is recommended that additional issues should be addressed to mitigate the impact from climate risk on water resource management of the country, i.e., water resources management under new risk based on development scenarios, relationship with area-based problems, priority definition by viewpoints of risk, vulnerability (impact and occurrence probability in past and future), water management system in emergency case and water reserve system, use of information, knowledge and technology in management, network cooperation and exchange of experiences, knowledge, technique for sustainable development with mitigation and adaptation, education and communication systems in risk, new impact, and emergency-reserve system. These issues will be described and discussed.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.160-163
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• 2009

HPA(High Power Amplifier)는 무선통신 시스템에서 필수적으로 요구되는 요소 중의 하나다. 그러나 전력 증폭기는 비선형 특성을 가지고 있으며 신호의 비선형 왜곡을 유발 시키고 인접채널 간섭을 심화시켜 시스템의 효율을 떨어뜨린다. 이러한 문제점을 해결하기 위해 많은 선형화 기법들이 제시되어왔다. 다항식 사전왜곡 기법은 증폭기로 입력되는 신호가 미리 증폭기의 역 특성을 갖도록 하는 기법으로 다항식을 통하여 증폭기를 모델링하기 때문에 수렴 속도가 빠르고 다른 기법들에 비해 좋은 성능을 보인다. 하지만 다항식으로 역 비선형 특성을 구할 경우, 증폭기의 포화영역에서 역 비선형 특성이 거의 무한대가 되어야 하기 때문에 선형화기의 성능이 크게 떨어진다. 본 논문에서는 이러한 문제점을 해결하기 위하여 PAPR(Peak-to-Average Power Ratio) 기법을 적용하여 다항식 사전왜곡 기법의 성능을 향상 시켰다.

• 한국시뮬레이션학회논문지
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• 제25권3호
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• pp.125-132
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• 2016

본 연구는 우리나라 IT기업을 대상으로 환경불확실성과 학습지향성의 상호작용이 조직성과의 하나인 마케팅역량에 미치는 영향을 탐색적으로 살펴보고자 하였다. AMOS와 SPSS를 활용한 통계분석 결과, 직원수 500인 미만의 소규모 조직일수록 자신들이 직면한 환경불확실성에 보다 적극적으로 그리고 유연하게 대응하려는 경향이 농후했으며, 이 같은 환경에의 반응을 통해 마케팅역량의 증대라는 긍정적 성과를 가져왔다. 반면에 직원수 500인 이상인 기업의 경우는 그 어떤 유의한 상호작용효과도 보여주지 못했다. 이 같은 연구결과는 조직규모에 따른 경쟁 환경 및 시장지배력의 차이가 IT기업의 환경적응 메커니즘에서도 차이를 가져온 것이라는 추론을 가능케 한다. 다만, 이 같은 유추는 IT기업의 유형과 특성이 매우 이질적이라는 점에서 일정한 한계를 지닌다. 따라서 IT산업의 표본을 확장한 후속연구와 타산업과의 비교연구에 대한 필요성이 있다.

• 한국분무공학회지
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• 제26권3호
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• pp.127-134
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• 2021

Fire sprinkler initial spray was analyzed by Large eddy simulation (LES) and Volume of Fluid (VoF) integrated method. The IsoAdvector geometric VoF was used to identify the liquid-gas interface clearly even with the large Courant-Friedrichs-Lewy number. To reduce the computational costs, sector meshes and Adaptive Mesh Refinement up to level 3 were used. Base mesh size was 1 mm, which is roughly equivalent to the initial sprinkler droplet. Top surface radius of boss and deflector size were modified to investigate the effects of sprinkler head design on primary breakup process. When top surface radius of boss was increased, vertical liquid sheet was formed. This phenomenon reduced the sheet breakup radius, sheet thickness and velocity. Due to reduced liquid sheet thickness, a large amount of ligaments was created from the liquid sheet. As a result, there was a dramatic decrease in volume per surface area, indicating an increase in breakup process. Spray pattern viewed in radial direction also changed when top surface radius of boss increased. When top surface radius of boss was increased, a T-shaped pattern was observed while a V-shaped pattern was observed in all other cases. When the deflector size increases, the spray pattern remains V-shaped, even if the top surface radius of boss increased. Further studies on promoting atomization of the water supplied to the lower part of the sprinkler head in the T-shape pattern should be conducted.

• 한국컴퓨터정보학회논문지
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• 제26권9호
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• pp.27-35
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• 2021

인공생명체 연구는 자연 생명과 관련된 시스템이나 그 과정들, 진화 등을 평가해 다양한 응용과학 분야에 활용된다. 이러한 인공생명체의 원활한 활동을 위해 물리적 신체 설계와 행동 제어전략을 진화시키는 연구가 활발히 진행되었다. 그러나 형태와 신경망을 공진화시키는 것은 어렵기에 최적화된 움직임을 가진 인공생명체는 한 가지 형태에 한 가지 움직임만을 가지며 주변 환경 상황은 고려하지 않는 것이 대부분이다. 본 논문에서는 포식자-피식자 모델을 이용하여 형태와 신경망을 공진화하는 인공생명체가 환경적응형 움직임을 갖게 한다. 그런 다음 포식자-피식자 계층 구조를 최상위 포식자-중간 포식자-최하위 피식자 3단계로 확장하여 초기 개체군 밀도에 따라 시뮬레이션의 안정성을 판별하며 형태 진화와 개체군 역학 간의 상관관계를 분석한다.

• Nuclear Engineering and Technology
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• 제51권3호
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• pp.807-817
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• 2019

Airborne Gamma Ray Spectrometry (AGRS) with its important applications such as gathering radiation information of ground surface, geochemistry measuring of the abundance of Potassium, Thorium and Uranium in outer earth layer, environmental and nuclear site surveillance has a key role in the field of nuclear science and human life. The Broyden-Fletcher-Goldfarb-Shanno (BFGS), with its advanced numerical unconstrained nonlinear optimization in collaboration with Artificial Neural Networks (ANNs) provides a noteworthy opportunity for modern AGRS. In this study a new AGRS system empowered by ANN-BFGS has been proposed and evaluated on available empirical AGRS data. To that effect different architectures of adaptive ANN-BFGS were implemented for a sort of published experimental AGRS outputs. The selected approach among of various training methods, with its low iteration cost and nondiagonal scaling allocation is a new powerful algorithm for AGRS data due to its inherent stochastic properties. Experiments were performed by different architectures and trainings, the selected scheme achieved the smallest number of epochs, the minimum Mean Square Error (MSE) and the maximum performance in compare with different types of optimization strategies and algorithms. The proposed method is capable to be implemented on a cost effective and minimum electronic equipment to present its real-time process, which will let it to be used on board a light Unmanned Aerial Vehicle (UAV). The advanced adaptation properties and models of neural network, the training of stochastic process and its implementation on DSP outstands an affordable, reliable and low cost AGRS design. The main outcome of the study shows this method increases the quality of curvature information of AGRS data while cost of the algorithm is reduced in each iteration so the proposed ANN-BFGS is a trustworthy appropriate model for Gamma-ray data reconstruction and analysis based on advanced novel artificial intelligence systems.

• Coupled systems mechanics
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• 제8권1호
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• pp.71-93
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• 2019

Finite element simulations of solid mechanics problems often involve the use of Non-Confirming Meshes (NCM) to increase accuracy in capturing nonlinear behavior, including damage and plasticity, in part of a solid domain without an undue increase in computational costs. In the presence of material nonlinearity and plasticity, higher-order variables are often needed to capture nonlinear behavior and material history on non-conforming interfaces. The most popular formulations for coupling non-conforming meshes are dual methods that involve the interpolation of a traction field on the interface. These methods are subject to the Ladyzhenskaya-Babuska-Brezzi (LBB) stability condition, and are therefore limited in their implementation with the higher-order elements needed to capture nonlinear material behavior. Alternatively, the enriched discontinuous Galerkin approach (EDGA) (Haikal and Hjelmstad 2010) is a primal method that provides higher order kinematic fields on the interface, and in which interface tractions are computed from local finite element estimates, therefore facilitating its implementation with nonlinear material models. The inclusion of higher-order interface variables, however, presents the issue of preserving material history at integration points when a increase in integration order is needed. In this study, the enriched discontinuous Galerkin approach (EDGA) is extended to the case of small-deformation plasticity. An interface-driven Gauss-Kronrod integration rule is proposed to enable adaptive enrichment on the interface while preserving history-dependent material data at existing integration points. The method is implemented using classical J2 plasticity theory as well as the pressure-dependent Drucker-Prager material model. We show that an efficient treatment of interface variables can improve algorithmic performance and provide a consistent approach for coupling non-conforming meshes in inelasticity.

• 방송공학회논문지
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• 제24권2호
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• pp.251-263
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• 2019

최근 인터넷 미디어 스트리밍 수요의 증가로 인해 CDN(Content Delivery Network) 비용이 크게 증가하였으며 이를 절감하기 위한 방안의 필요성이 날로 증가하고 있다. 이러한 상황에 맞춰 최근 CDN 비용을 절감할 수 있는 WebRTC(Web Real-Time Communication) 표준 기반의 P2P(Peer-to-Peer) 통신을 병용하는 DASH(Dynamic Adaptive Streaming over HTTP) 기술이 등장하였다. 본 논문에서는, 전달 이력에 기반하여 피어(peer)를 선택하게 함으로써, 이 기술의 CDN 비용 절감 효과를 크게 개선할 수 있는 새로운 알고리듬을 제안하였다. 또한 실험실 내에서 실제 이 알고리듬을 구현하고 모바일 네트워크 환경과 유사한 환경 조건에서 실험을 시행하여 그 성능을 측정한 결과, 무작위로 피어를 선택하는 기존의 시스템과 비교하여 더 높은 CDN 비용 절감 효과를 달성할 수 있음을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5568-5587
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• 2018

This research uses artificial intelligence methods for computer network intrusion detection system modeling. Primary classification is done using self-organized maps (SOM) in two levels, while the secondary classification of ambiguous data is done using Sugeno type Fuzzy Inference System (FIS). FIS is created by using Adaptive Neuro-Fuzzy Inference System (ANFIS). The main challenge for this system was to successfully detect attacks that are either unknown or that are represented by very small percentage of samples in training dataset. Improved algorithm for SOMs in second layer and for the FIS creation is developed for this purpose. Number of clusters in the second SOM layer is optimized by using our improved algorithm to minimize amount of ambiguous data forwarded to FIS. FIS is created using ANFIS that was built on ambiguous training dataset clustered by another SOM (which size is determined dynamically). Proposed hybrid model is created and tested using NSL KDD dataset. For our research, NSL KDD is especially interesting in terms of class distribution (overlapping). Objectives of this research were: to successfully detect intrusions represented in data with small percentage of the total traffic during early detection stages, to successfully deal with overlapping data (separate ambiguous data), to maximize detection rate (DR) and minimize false alarm rate (FAR). Proposed hybrid model with test data achieved acceptable DR value 0.8883 and FAR value 0.2415. The objectives were successfully achieved as it is presented (compared with the similar researches on NSL KDD dataset). Proposed model can be used not only in further research related to this domain, but also in other research areas.