• 제목/요약/키워드: Evaluation approaches

검색결과 1,162건 처리시간 0.028초

혼변조적의 효과적인 산출 방식에 관한 연구 (A Study on an Efficient Method to Evaluate Intermodulation Product)

  • 고성찬;황인환;최형진
    • 전자공학회논문지A
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    • 제30A권9호
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    • pp.14-23
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    • 1993
  • In this paper, we present analysis results of various intermodulation products (IMPs) evaluation methods previously proposed for nonlinear systems. The results indicate that out of these methods, Fuenzalida and Simbo's method is the best for efficient evaluation of IMPs. Also, we present a detailed mathematical analysis of IMP and show how to apply the equations related to IMP to actual program implementations with examples. In this paper, we newly introduce three methods to reduce the IMP calculation time and improve the accuracy of the outputs :1) TWTA curve fitting method by LS (Least Square), 2) IMP evaluation technique which is based on a look-up table 3) Gaussian spectral shaping for PSK signal instead of convolution. The IMP evaluation results obtained by the new approaches introduced in this paper resulted in a good match with the published outputs in the open literature and showed improved performance especially in the TWTA curve .

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Multi-criteria Evaluation of Mobile Network Sharing Policies in Korea

  • Song, Young-Keun;Zo, Hangjung;Ciganek, Andrew P.
    • ETRI Journal
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    • 제36권4호
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    • pp.572-580
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    • 2014
  • Mobile operators in saturated markets increasingly favor mobile network sharing (MNS) over facility-based competition. Previous research examining MNS primarily focused on its positive effects, while the negative effects were largely overlooked. This study proposes a decision-making model using an analytic hierarchy process technique to evaluate decision-making criteria among various types of MNS policies. The decision-making model was applied to Wireless Broadband services in Korea to determine the relative importance of both positive and negative evaluation criteria and preference among multiple types of MNS policies. Positive evaluation criteria (that is, efficiency) were far greater in importance than negative evaluation criteria (that is, competition harm). The preference for adopting MNS among five alternative approaches was also revealed. The study findings offer immediate policy insights in Korea and provide a decision-making framework for policy makers in other countries to utilize.

Quantifying user interface usability

  • Park, Kyung S.;Lim, Chee H.
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1995년도 춘계학술대회논문집
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    • pp.16-22
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    • 1995
  • The importance of usability evaluation is increasing in developing a new system and product. The current approaches for usability evaluation are: the comparative evaluation to measure usability, and the iterative user interface design to find usability problems. This paper pressents three types of characteristics and a set of criteria for usability evaluation. The methodology for criteria-based quantitative analysis of user interface usability is investigated with a view to measuring usability. The fuzzy weighted-checklist method with linguistic variables is used for quantitatie analysis. This analysis provides a quantitative measure, which reflects the degree of excellence of user interface usability during the design and development phases.

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Paraclinoid 동맥류의 수술적 접근법 (Surgical Approaches to Paraclinoid Aneurysms)

  • 윤재웅;이동렬;정영균;김수영;박혁;백승국
    • Journal of Korean Neurosurgical Society
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    • 제30권12호
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    • pp.1361-1368
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    • 2001
  • Objective : "Paraclinoid" aneurysms include those aneurysms arising from the internal carotid artery between the site of emergence of the carotid artery from the roof of the cavernous sinus and the origin of the posterior communicating artery. The authors reviewed and analysed the results of surgical approaches to paraclinoid aneurysms treated with transcranial surgery and endovascular surgery. Methods : Between January 1998 and May 1999, 14 patients were treated surgically through ipsilateral and contralateral pterional approaches, and anterior interhemispheric approach, and endovascular surgery for paraclinoid aneurysms. All transcranial approaches were performed by same surgeon. The medical records, neuroimaging studies and videotapes which had been recorded operations were reviewed retrospectively. Results : Twelve patients presented with subarachnoid hemorrhage and ICH. Nine of fourteen patients had multiple aneurysms. Thirteen cases were small and one was a large aneurysm. Six patients were treated through ipsilateral approaches, six contralateral pterional approaches, one anterior interhemispheric approach and one primarily by GDC embolization. All aneurysms treated through contralateral approaches were multiple aneurysms. Neck clipping was performed in 9(69.2%) of the thirteen aneurysms, wrapping in four cases, among them three cases were followed by GDC embolization. The surgical outcomes were : Glasgow Outcome Scale(GOS) I 71.4%, GOS II 21.4% and GOS V 7.1%. Conclusion : The surgical approaches to paraclinoid aneurysms should be chosen after careful anatomical evaluation of aneurysm and its neighboring structures. 3D-CT angiography and/or the raw data of MR angiography were useful. This study supports the usefulness of the contralateral approach to paraclinoid aneurysm associated with multiple aneurysms, unruptured and small aneurysms whose dome projecting medially, superiorly and dorsally. The determination of contralateral approach to small and medially projecting paraclinoid aneurysm may be stressful to operator, thus we believe anterior interhemispheric approach is better alternated. Also we recommend the endovascular surgery after reinforcement of aneurym neck and dome in the case with difficulty in clipping.

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자료포괄분석(DEA)을 이용한 주식의 가치 평가 (Evaluating Stock Value using Data Envelopment Analysis)

  • 김범석;김명석;민재형
    • 경영과학
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    • 제28권3호
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    • pp.61-72
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    • 2011
  • This study suggests a DEA(Data Envelopment Analysis) based model to evaluate the value of corporate stock. The model integrating PER(Price-Earning Ratio), PBR(Price-BookValue Ratio), PSR(Price-Sales Ratio) and volatility in DEA structure has an advantage of overcome the limitation of traditional financial ratio based models. In order to show the effectiveness of the suggested model. we compare the performance of portfolio composed by DEA approach with those of portfolios made by traditional approaches such as PER, PBR, and PSR in terms of stock return and volatility. Specifically, we use the data of all the enterprises listed on the S&P 500 in the U.S. in 2007 and 2009 as the sample data for the experiments. The results of the experiments show that the performance of the DEA approach is clearly better than those of other approaches. Particularly, in sharply plummeting market, the performance of the DEA approach is shown to be prominently better than those of other approaches as the DEA approach reflects investment risk as well as profitability and growth. The DEA score combining the existing investment indices may serve as a useful barometer for selecting a stable and profitable portfolio.

Comparisons of Elasto-Fiber and Fiber & Bernoulli-Euler reinforced concrete beam-column elements

  • Karaton, Muhammet
    • Structural Engineering and Mechanics
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    • 제51권1호
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    • pp.89-110
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    • 2014
  • In this study, two beam-column elements based on the Elasto-Fiber element theory for reinforced concrete (RC) element have been developed and compared with each other. The first element is based on Elasto Fiber Approach (EFA) was initially developed for steel structures and this theory was applied for RC element in there and the second element is called as Fiber & Bernoulli-Euler element approach (FBEA). In this element, Cubic Hermitian polynomials are used for obtaining stiffness matrix. The beams or columns element in both approaches are divided into a sub-element called the segment for obtaining element stiffness matrix. The internal freedoms of this segment are dynamically condensed to the external freedoms at the ends of the element by using a dynamic substructure technique. Thus, nonlinear dynamic analysis of high RC building can be obtained within short times. In addition to, external loads of the segment are assumed to be distributed along to element. Therefore, damages can be taken account of along to element and redistributions of the loading for solutions. Bossak-${\alpha}$ integration with predicted-corrected method is used for the nonlinear seismic analysis of RC frames. For numerical application, seismic damage analyses for a 4-story frame and an 8-story RC frame with soft-story are obtained to comparisons of RC element according to both approaches. Damages evaluation and propagation in the frame elements are studied and response quantities from obtained both approaches are investigated in the detail.

Intelligent fuzzy inference system approach for modeling of debonding strength in FRP retrofitted masonry elements

  • Khatibinia, Mohsen;Mohammadizadeh, Mohammad Reza
    • Structural Engineering and Mechanics
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    • 제61권2호
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    • pp.283-293
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    • 2017
  • The main contribution of the present paper is to propose an intelligent fuzzy inference system approach for modeling the debonding strength of masonry elements retrofitted with Fiber Reinforced Polymer (FRP). To achieve this, the hybrid of meta-heuristic optimization methods and adaptive-network-based fuzzy inference system (ANFIS) is implemented. In this study, particle swarm optimization with passive congregation (PSOPC) and real coded genetic algorithm (RCGA) are used to determine the best parameters of ANFIS from which better bond strength models in terms of modeling accuracy can be generated. To evaluate the accuracy of the proposed PSOPC-ANFIS and RCGA-ANFIS approaches, the numerical results are compared based on a database from laboratory testing results of 109 sub-assemblages. The statistical evaluation results demonstrate that PSOPC-ANFIS in comparison with ANFIS-RCGA considerably enhances the accuracy of the ANFIS approach. Furthermore, the comparison between the proposed approaches and other soft computing methods indicate that the approaches can effectively predict the debonding strength and that their modeling results outperform those based on the other methods.

타부탐색, 메모리, 싸이클 탐지를 이용한 배낭문제 풀기

  • 고일상
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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    • pp.514-517
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    • 1996
  • In solving multi-level knapsack problems, conventional heuristic approaches often assume a short-sighted plan within a static decision enviornment to find a near optimal solution. These conventional approaches are inflexible, and lack the ability to adapt to different problem structures. This research approaches the problem from a totally different viewpoint, and a new method is designed and implemented. This method performs intelligent actions based on memories of historic data and learning. These actions are developed not only by observing the attributes of the optimal solution, the solution space, and its corresponding path to the optimal solution, but also by applying human intelligence, experience, and intuition with respect to the search strategies. The method intensifies, or diversifies the search process appropriately in time and space. In order to create a good neighborhood structure, this method uses two powerful choice rules that emphasize the impact of candidate variables on the current solution with respect to their profit contribution. A side effect of so-called "pseudo moves", similar to "aspirations", supports these choice rules during the evaluation process. For the purpose of visiting as many relevant points as possible, strategic oscillation between feasible and infeasible solutions around the boundary is applied for intensification. To avoid redundant moves, short-term (tabu-lists), intermediate-term (cycle detection), and long-term (recording frequency and significant solutions for diversification) memories are used. Test results show that among the 45 generated problems (these problems pose significant or insurmountable challenges to exact methods) the approach produces the optimal solutions in 39 cases.lutions in 39 cases.

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An Assessment on the Containment Integrity of Korean Standard Nuclear Power Plants Against Direct Containment Heating Loads

  • Seo, Kyung-Woo;Kim, Moo-Hwan;Lee, Byung-Chul;Jeun, Gyoo-Dong
    • Nuclear Engineering and Technology
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    • 제33권5호
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    • pp.468-482
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    • 2001
  • As a process of Direct Containment Heating (DCH) issue resolution for Korean Standard Nuclear Power Plants (KSNPs), a containment load/strength assessment with two different approaches, the probabilistic and the deterministic, was performed with all plant-specific and phenomena-specific data. In case of the probabilistic approach, the framework developed to support the Zion DCH study, Two-Cell Equilibrium (TCE) coupled with Latin Hypercubic Sampling (LHS), provided a very efficient tool to resolve DCH issue. In case of the deterministic approach, the evaluation methodology using the sophisticated mechanistic computer code, CONTAIN 2.0 was developed, based on findings from DCH-related experiments or analyses. For three bounding scenarios designated as Scenarios V, Va, and VI, the calculation results of TCE/LHS and CONTAIN 2.0 with the conservatism or typical estimation for uncertain parameters, showed that the containment failure resulted from DCH loads was not likely to occur. To verify that these two approaches might be conservative , the containment loads resulting from typical high-pressure accident scenarios (SBO and SBLOCA) for KSNPs were also predicted. The CONTAIN 2.0 calculations with boundary and initial conditions from the MAAP4 predictions, including the sensitivity calculations for DCH phenomenological parameters, have confirmed that the predicted containment pressure and temperature were much below those from these two approaches, and, therefore, DCH issue for KSNPS might be not a problem.

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모바일 기기에서 특징적 추출과 정합을 활용한 파노라마 이미지 스티칭 (Panoramic Image Stitching using Feature Extracting and Matching on Mobile Device)

  • 이용환;김흥준
    • 반도체디스플레이기술학회지
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    • 제15권4호
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    • pp.97-102
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    • 2016
  • Image stitching is a process of combining two or more images with overlapping area to create a panorama of input images, which is considered as an active research area in computer vision, especially in the field of augmented reality with 360 degree images. Image stitching techniques can be categorized into two general approaches: direct and feature based techniques. Direct techniques compare all the pixel intensities of the images with each other, while feature based approaches aim to determine a relationship between the images through distinct features extracted from the images. This paper proposes a novel image stitching method based on feature pixels with approximated clustering filter. When the features are extracted from input images, we calculate a meaning of the minutiae, and apply an effective feature extraction algorithm to improve the processing time. With the evaluation of the results, the proposed method is corresponding accurate and effective, compared to the previous approaches.