• Nonlinear Functional Analysis and Applications
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• 제26권2호
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• pp.411-432
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• 2021

In this paper, an inertial Halpern-type forward backward iterative algorithm for approximating solution of a monotone inclusion problem whose solution is also a fixed point of some nonlinear mapping is introduced and studied. Strong convergence theorem is established in a real Hilbert space. Furthermore, our theorem is applied to variational inequality problems, convex minimization problems and image restoration problems. Finally, numerical illustrations are presented to support the main theorem and its applications.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.55-63
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• 2021

The design functionality put forward by mapping the interactiveness of information. The presentation of such information with the user interface model indicates that the guidelines, concepts, and workflows form the deliverables and milestones for achieving a visualized design, therefore forming the right trend is significant to ensure compliance in terms of changing consideration and applying evaluation in the early stages. It is evidenced that prototype design is guided by improvement specifications, includes modes, and variables that increase improvements. The study presents five user interface testing methods. The testing methods are heuristic evaluation, perspective-based user interface testing, cognitive walkthrough, pluralistic walkthrough, and formal usability inspection. It appears that the five testing methods can be combined and matched to produce reasonable results. At last, the study presents different mobile application designs for student projects besides the evaluation of mobile application designs to consider the user needs and usability.

• 자원환경지질
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• 제43권6호
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• pp.615-623
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• 2010

굴절법 탄성파탐사는 직접파와 임계굴절파를 이용하여 지하의 속도구조를 파악하는 지구물리탐사방법이다. GRM은 해석기법 중의 하나로서 수개의 정방향 및 역방향 발파의 주행시간을 이용하여 경사면은 물론 저속도층이나 얇은 층과 같은 숨은 층 하부에 대한 정보까지 제공한다. 이 연구에서는 5~7점 발파가 수행된 후 실내 자료처리 작업이 진행되는 일발적인 조사와 달리, 신축부지의 터파기 과정 및 시추자료에서 해석된 풍화대/기반암의 2층 구조를 대상으로 현장에서 간단히 양단발파 자료만을 가지고 엑셀 기반의 GRM을 적용시켜 풍화대와 기반암의 경계면을 신속히 파악할 수 있는지 살펴보았다. 이 방법의 적용효과와 계산의 신뢰도를 확인하기 위해 정사각과 속도대비 변화에 따른 각 모형에 대한 적용성을 검토한 결과 각각 최대 약 $30^{\circ}C$의 경사와 최대 0.6의 속도대비가 되는 경계면을 해석할 수 있는 것으로 나타났다. 청주화강암체에 대한 실제 현장탐사에서 해석된 기반암까지의 깊이는 시추자료 및 SPS 검층 자료에서 도출된 연암 상부의 표면과 잘 상관되었다. 실제 현장에서 기반암까지의 깊이를 간편한 엑셀-GRM을 이용하여 신속히 추정할 수 있다는 점에서 기반암의 깊이가 심하게 변하지 않은 좁은 지역에서의 풍화대 조사 및 이에 따른 저비용의 탐사설계에 일정한 역할을 할 것으로 보인다.

• 센서학회지
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• 제32권2호
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• pp.110-117
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• 2023

Reconstructing underwater geometry in real time with forward-looking sonar is critical for applications such as localization, mapping, and path planning. Geometrical data must be repeatedly calculated and overwritten in real time because the reliability of the acoustic data is affected by various factors. Moreover, scattering of signal data during the coordinate conversion process may lead to geometrical errors, which lowers the accuracy of the information obtained by the sensor system. In this study, we propose a three-step data processing method with low computational cost for real-time operation. First, the number of data points to be interpolated is determined with respect to the distance between each point and the size of the data grid in a Cartesian coordinate system. Then, the data are processed with a nonlinear interpolation so that they exhibit linear properties in the coordinate system. Finally, the data are transformed based on variations in the position and orientation of the sonar over time. The results of an evaluation of our proposed approach in a simulation show that the nonlinear interpolation operation constructed a continuous underwater geometry dataset with low geometrical error.

• 대한의용생체공학회:의공학회지
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• 제29권4호
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• pp.329-336
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• 2008

Recently, causality analysis of source time series extracted from EEG or MEG signals is becoming of great importance in human brain mapping studies and noninvasive diagnosis of various brain diseases. Two approaches have been widely used for the analyses: one is independent component analysis (ICA), and the other is multiple signal classification (MUSIC). To the best of our knowledge, however, any comparison studies to reveal the difference of the two approaches have not been reported. In the present study, we compared the performance of the two different techniques, ICA and MUSIC, especially focusing on how accurately they can estimate and separate various brain electrical signals such as linear, nonlinear, and chaotic signals without a priori knowledge. Results of the realistic simulation studies, adopting directed transfer function (DTF) and Granger causality (GC) as measures of the accurate extraction of source time series, demonstrated that the MUSIC-based approach is more reliable than the ICA-based approach.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 B
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• pp.740-743
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• 1998

This paper presents an optimization algorithm for a stable Dynamic Neural Network (DNN) using genetic algorithm. Optimized DNN is applied to a problem of controlling nonlinear dynamical systems. DNN is dynamic mapping and is better suited for dynamical systems than static forward neural network. The real time implementation is very important, and thus the neuro controller also needs to be designed such that it converges with a relatively small number of training cycles. SDNN has considerably fewer weights than DNN. The object of proposed algorithm is to the number of self dynamic neuron node and the gradient of activation functions are simultaneously optimized by genetic algorithms. To guarantee convergence, an analytic method based on the Lyapunov function is used to find a stable learning for the SDNN. The ability and effectiveness of identifying and controlling, a nonlinear dynamic system using the proposed optimized SDNN considering stability' is demonstrated by case studies.

• Computers and Concrete
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• 제10권4호
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• pp.331-347
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• 2012

This paper describes the varying material model, the analysis method and the software development for reinforced concrete circular columns confined by spiral or hoop transverse steel reinforcement and subjected to eccentric loading. The widely used Mander model of concentric loading is adapted here to eccentric loading by developing an auto-adjustable stress-strain curve based on the eccentricity of the axial load or the size of the compression zone to generate more accurate interaction diagrams. The prediction of the ultimate unconfined capacity is straight forward. On the other hand, the prediction of the actual ultimate capacity of confined concrete columns requires specialized nonlinear analysis. This nonlinear procedure is programmed using C-Sharp to build efficient software that can be used for design, analysis, extreme event evaluation and forensic engineering. The software is equipped with an elegant graphics interface that assimilates input data, detail drawings, capacity diagrams and demand point mapping in a single sheet. Options for preliminary design, section and reinforcement selection are seamlessly integrated as well. Improvements to KDOT Bridge Design Manual using this software with reference to AASHTO LRFD are made.

• 한국인터넷방송통신학회논문지
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• 제23권6호
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• pp.75-80
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• 2023

미래의 무선과 휴대용 계산 응용에서 DCT 대체할 수 있는 가역적인 블록 변환의 구현을 제시하였다. 이것을 binDCT라 불린다. BinDCT에서 정방향과 역방향 변환들은 이진 천이와 더하기 연산으로 구현될 수 있다. 그리고 binDCT는 바람직한 DCT 특징인(고코딩이득, DC손실 없음, 대칭적인 기저함수, 재귀적 구성)을 유지한다. 또한 binDCT는 lifting 특징인(빠른 구현, 가역적인 정수대정수 매핑, 내부 계산)을 유지한다. 따라서 복잡한 DCT 연산을 보다 빠르게 실행할 수 있는 장점을 가진다. 이 논문에서는 DCT와 binDCT의 계산비용과 성능분석을 Shapiro의 EZW을 사용하여 제시하였다.

• 한국통신학회논문지
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• 제34권11B호
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• pp.1303-1310
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• 2009

3차원 입체 영상을 디스플레이에 출력하려면, 여러 시점에서의 영상 정보가 필요하다. 여러 시점의 영상을 얻을 수 있는 가장 기본적인 방법은, 필요로 하는 시점의 개수와 동일 한 수의 카메라를 사용하는 것이다. 하지만 이를 위해서는 카메라간의 동기화 와 방대한 데이터 처리 및 전송 등의 현실적인 문제가 해결되어야 한다. 이러한 현실적인 문제를 해결하기 위해서 연구되고 있는 방법이 한정된 시점 영상을 이용하여 여러 중간 시점 영상을 생성하는 영상 기반의 임의 시점 합성 방법이다. 본 논문에서는 두 개의 기준 시점 영상과 각각의 깊이 정보가 주어줬음을 가정하고 주어진 정보를 바탕으로 이중의 순차적인 전방 사상을 통하여 목표로 하는 여러 다중 시점의 영상을 동시에 합성하는 방법을 제시한다. 제안된 방법은 좌우 기준 시점 영상의 평행 이동으로 가상 시점 영상을 생성 할 수 있으며, 평행 이동은 시점의 거리에 비례한 행렬간의 관계로 나타난다. 따라서 이중의 순차적인 전방 사상이라 함은 좌우 시점에서 가상 시점 거리에 따른 관계식을 통한 순차적인 양안 시점의 평행 이동을 의미한다. 이 때 전방 사상을 통해 생성되는 가상 시점 영상과 기준 시점 영상간의 기하관계가 시점간 거리에 비례하여 반복적이므로 이를 GPU 프로그래밍을 통해 병렬 처리를 통해 고속화 하는데 초점을 맞추었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1516-1519
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• 1997

With disseminationof Distributed Control Systems(DCS), the huge amounts of process operation data could have been available and led to figure out process behaviors better on the statistical basis. Until now, the statistical modeling technology has been susally applied to process monitoring and fault diagnosis. however, it has been also thought that these process information, extracted from statistical analysis, might serve a great opportunity for process operation improvements and process improvements. This paper proposed a general methodolgy for process operation improvements including data analysis, backing up the result of analysis based on the methodology, and the mapping physical physical phenomena to the Principal Components(PC) which is the most distinguished feature in the methodology form traditional statistical analyses. The application of the proposed methodology to the Balst Furnace(BF) process has been presented for details. The BF process is one of the complicated processes, due to the highly nonlinear and correlated behaviors, and so the analysis for the process based on the mathematical modeling has been very difficult. So the statisitical analysis has come forward as a alternative way for the useful analysis. Using the proposed methodology, we could interpret the complicated process, the BF, better than any other mathematical methods and find the direction for process operation improvement. The direction of process operationimprovement, in the BF case, is to increase the fludization and the permeability, while decreasing the effect of tapping operation. These guide directions, with those physical meanings, could save fuel cost and process operator's pressure for proper actions, the better set point changes, in addition to the assistance with the better knowledge of the process. Open to set point change, the BF has a variety of steady state modes. In usual almost chemical processes are under the same situation with the BF in the point of multimode steady states. The proposed methodology focused on the application to the multimode steady state process such as the BF, consequently can be applied to any chemical processes set point changing whether operator intervened or not.