• 제목/요약/키워드: systems approach method

검색결과 3,718건 처리시간 0.038초

Recognition Performance Improvement of Unsupervised Limabeam Algorithm using Post Filtering Technique

  • Nguyen, Dinh Cuong;Choi, Suk-Nam;Chung, Hyun-Yeol
    • 대한임베디드공학회논문지
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    • 제8권4호
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    • pp.185-194
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    • 2013
  • Abstract- In distant-talking environments, speech recognition performance degrades significantly due to noise and reverberation. Recent work of Michael L. Selzer shows that in microphone array speech recognition, the word error rate can be significantly reduced by adapting the beamformer weights to generate a sequence of features which maximizes the likelihood of the correct hypothesis. In this approach, called Likelihood Maximizing Beamforming algorithm (Limabeam), one of the method to implement this Limabeam is an UnSupervised Limabeam(USL) that can improve recognition performance in any situation of environment. From our investigation for this USL, we could see that because the performance of optimization depends strongly on the transcription output of the first recognition step, the output become unstable and this may lead lower performance. In order to improve recognition performance of USL, some post-filter techniques can be employed to obtain more correct transcription output of the first step. In this work, as a post-filtering technique for first recognition step of USL, we propose to add a Wiener-Filter combined with Feature Weighted Malahanobis Distance to improve recognition performance. We also suggest an alternative way to implement Limabeam algorithm for Hidden Markov Network (HM-Net) speech recognizer for efficient implementation. Speech recognition experiments performed in real distant-talking environment confirm the efficacy of Limabeam algorithm in HM-Net speech recognition system and also confirm the improved performance by the proposed method.

웹 기반의 상호작용 교육용 시스템 개발 (Development of a Web-based Interactive Education systems)

  • 장충성;임화경;최효현
    • 한국컴퓨터정보학회논문지
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    • 제19권12호
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    • pp.177-185
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    • 2014
  • 현대 사회는 스마트 기기의 이용이 증가함에 따라서 스마트 기기를 활용하여 교수자와 학습자간의 상호작용을 할 수 있는 수업 방식의 중요성을 강조하고 있다. 하지만 중요성에 비해 국내에서 시행되고 있는 스마트기기를 활용한 수업 방식이 해외에서 시행되고 있는 것에 비해 부족하다. 따라서 본 논문은 국내에서 교수자와 학습자간의 질의응답을 통한 상호작용을 할 수 있는 시스템을 모바일 웹 페이지를 활용하여 구현하였다. 구현 된 시스템은 스마트기기 등 인터넷을 사용할 수 있는 기기 어디에서나 사용이 가능하며, 교수자가 문제나 의견을 출제하여 학습자가 응답하는 방법을 사용하였으며, 실시간으로 학습자들의 이해 여부와 의견을 시각적으로 확인할 수 있도록 구현하였다. 또한, 출제되었던 문제는 데이터베이스에 남아 있어 학습자와 교수자 모두 지난 문제에 대해 자신의 부족한 점을 보완할 수 있고, 교수자는 결과를 엑셀 형태로 다운 받아 따로 보관이 가능하게 하였다. 구현된 시스템을 학생들과 함께 진행해본 결과 대다수의 학생들이 긍정적인 반응을 보였으며, 사용의도를 묻는 질문에 과반수이상이 긍정적으로 응답하였다.

Optimized Relay Selection and Power Allocation by an Exclusive Method in Multi-Relay AF Cooperative Networks

  • Bao, Jianrong;Jiang, Bin;Liu, Chao;Jiang, Xianyang;Sun, Minhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권7호
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    • pp.3524-3542
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    • 2017
  • In a single-source and multi-relay amplify-forward (AF) cooperative network, the outage probability and the power allocation are two key factors to influence the performance of an entire system. In this paper, an optimized AF relay selection by an exclusive method and near optimal power allocation (NOPA) is proposed for both good outage probability and power efficiency. Given the same power at the source and the relay nodes, a threshold for selecting the relay nodes is deduced and employed to minimize the average outage probability. It mainly excludes the relay nodes with much higher thresholds over the aforementioned threshold and thus the remainders of the relay nodes participate in cooperative forwarding efficiently. So the proposed scheme can improve the utility of the resources in the cooperative multi-relay system, as well as reduce the computational complexity. In addition, based on the proposed scheme, a NOPA is also suggested to approach sub-optimal power efficiency with low complexity. Simulation results show that the proposed scheme obtains about 2.1dB and 5.8dB performance gain at outage probability of $10^{-4}$, when compared with the all-relay-forward (6 participated relays) and the single-relay-forward schemes. Furthermore, it obtains the minimum outage probability among all selective relay schemes with the same number of the relays. Meanwhile, it approaches closely to the optimal exhaustive scheme, thus reduce much complexity. Moreover, the proposed NOPA scheme achieves better outage probability than those of the equal power allocation schemes. Therefore, the proposed scheme can obtain good outage probability, low computational complexity and high power efficiency, which makes it pragmatic efficiently in the single-source and multi-relay AF based cooperative networks.

Detection of damage in truss structures using Simplified Dolphin Echolocation algorithm based on modal data

  • Kaveh, Ali;Vaez, Seyed Rohollah Hoseini;Hosseini, Pedram;Fallah, Narges
    • Smart Structures and Systems
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    • 제18권5호
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    • pp.983-1004
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    • 2016
  • Nowadays, there are two classes of methods for damage detection in structures consisting of static and dynamic. The dynamic methods are based on studying the changes in structure's dynamic characteristics. The theoretical basis of this method is that damage causes changes in dynamic characteristics of structures. The dynamic methods are divided into two categories: signal based and modal based. The modal based methods utilize the modal properties consisting of natural frequencies, modal damping and mode shapes. As the modal properties are sensitive to changes in the structure, these can be used for detecting the damages. In this study, using dynamic method and modal based approach (natural frequencies and mode shapes), the objective function is formulated. Then, detection of damages of truss structures is addressed by using Simplified Dolphin Echolocation algorithm and solving inverse optimization problem. Many scenarios are used to simulate the damages. To demonstrate the ability of the algorithm, different truss structures with several multiple elements scenarios are tested using a few runs. The influence of the two different levels of noise in the modal data for these scenarios is also considered. The last example of this article is investigated using a different mutation. This mutation obtains the exact answer with fewer loops and population by limited computational effort.

실시간내비게이션의 온실가스 감축 영향력 분석 (The Effect of Real-time Navigation on the Reduction of Greenhouse Gas Emission)

  • 김정수;오준석;이봉규
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제2권1호
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    • pp.35-42
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    • 2013
  • 본 논문은 정보통신기술을 기반으로 한 특정 서비스가 온실가스 감축에 미치는 영향력에 대하여 실험을 통하여 실증적으로 보여준다. 본 연구에서는 정보통신기술 기반 서비스로 실시간내비게이션을 선정하여 최적경로의 이산화탄소 감소율을 기존 내비게이션에서 제공하는 최단경로에서의 이산화탄소 감소율과 비교 실험하였다. 실험 결과는 실시간내비게이션의 최적경로로 이동할 경우 최단거리에 비해 이산화탄소 배출량 감소의 효과가 있다는 것을 보여준다. 또한, 본 연구는 청정개발체제에서 제시하는 온실가스 감축 방법을 기반으로 정량화 및 모니터링 접근을 통한 새로운 온실가스 감축 평가 방법을 이론적으로 제시하였다. 본 연구의 결과는 다양한 정보통신기술 기반 서비스들의 온실가스 감축 영향력에 대한 연구의 기반연구로써 활용될 수 있을 것이다. 또한, 본 논문에서 제시한 온실가스 감축 평가 방법론은 청정개발체제에 제안되어 새로운 표준으로 활용될 수 있을 것이다.

BTH 처리한 배배양 인삼에서 주요 진균병 저항성 증진 효과 (Enhancing resistance to major fungal pathogens of Panax ginseng, by BTH-induced systemic resistance)

  • 류호진
    • Journal of Plant Biotechnology
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    • 제43권1호
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    • pp.99-103
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    • 2016
  • 고려인삼은 다년생 약용작물로써 재배 특성상 인삼에서 다양한 질병들의 효과적인 방제시스템의 개발은 인삼의 생산량 증대에 매우 중요한 요소이다. 최근 지속가능한 농업의 실현을 위한 식물의 유도저항성(ISR)과 유용미생물의 항생제 효과를 이용한 친환경 생물학적 방제 기법이 주목을 받고 있다. 하지만 인삼의 유도정항성을 정확하게 판단할 수 있는 기법은 아직까지 거의 연구되어 있지 않다. 본 논문에서는 인삼의 유묘를 이용한 무병주 기내배양 시스템을 개발하였고, BTH에 의해 유도되는 인삼의 유도저항성을 통한 잿빛곰팡이병과 탄저병에 대한 방제효과를 검증하였다. 인삼유묘에 유도저항성을 위해 뿌리에 직접적으로 BTH를 처리하는 관주처리 방법에 비해, 잎에 직접적으로 살포하는 엽면시비 방법이 효과적으로 두 곰팡이성 병원균에 대한 방제효과가 높게 나타났다. BTH처리 인삼유묘에 탄저병원균을 처리하였을 때 인삼의 병원균 침입에 의해 급격히 발현이 증대되는 PgPR10과 PgCAT 유전자의 발현이 급속하게 증대되는 현상을 확인하였다. 본 연구를 통해 개발된 시스템은 향후 친환경적으로 이용될 수 있는 다양한 생물학적 방제제의 효과를 검정하고 활용하는데 매우 유용하게 이용될 수 있을 것이다.

병렬 처리를 이용한 부분 시스템 기반 유연다물체 동역학의 효율적인 해석 연구 (Study on Parallel Processing for Efficient Flexible Multibody Analysis based on Subsystem Synthesis Method)

  • 한종부;송하준;김성수
    • 대한기계학회논문집A
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    • 제41권6호
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    • pp.507-515
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    • 2017
  • 많은 절점 자유도로 표현이 되는 유연다물체 시스템의 효율적인 해석을 위해서는 병렬처리 기법이 적용될 수 있다. 이 분야에서의 병렬처리기법은 주로 선형대수방정식의 효율적인 해법에 초점이 맞추어 연구가 진행되었다. 본 논문에서는 기존의 방법과는 달리 병렬처리에 적합한 유연다물체 동역학 공식을 부분 시스템 합성방법을 이용하여 개발하고, OpenMP를 사용한 효율적인 병렬처리 방식을 제안하였다. 서로 다른 두 가지 병렬처리 방식을 3개의 동일한 유연체 회전 날개 시스템 시뮬레이션 통하여 비교하였다. 또한 실제의 CPU시간을 비교하여 제안한 병렬처리 방법의 효율성을 고찰하였다.

Finite element model updating of a cable-stayed bridge using metaheuristic algorithms combined with Morris method for sensitivity analysis

  • Ho, Long V.;Khatir, Samir;Roeck, Guido D.;Bui-Tien, Thanh;Wahab, Magd Abdel
    • Smart Structures and Systems
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    • 제26권4호
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    • pp.451-468
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    • 2020
  • Although model updating has been widely applied using a specific optimization algorithm with a single objective function using frequencies, mode shapes or frequency response functions, there are few studies that investigate hybrid optimization algorithms for real structures. Many of them did not take into account the sensitivity of the updating parameters to the model outputs. Therefore, in this paper, optimization algorithms and sensitivity analysis are applied for model updating of a real cable-stayed bridge, i.e., the Kien bridge in Vietnam, based on experimental data. First, a global sensitivity analysis using Morris method is employed to find out the most sensitive parameters among twenty surveyed parameters based on the outputs of a Finite Element (FE) model. Then, an objective function related to the differences between frequencies, and mode shapes by means of MAC, COMAC and eCOMAC indices, is introduced. Three metaheuristic algorithms, namely Gravitational Search Algorithm (GSA), Particle Swarm Optimization algorithm (PSO) and hybrid PSOGSA algorithm, are applied to minimize the difference between simulation and experimental results. A laboratory pipe and Kien bridge are used to validate the proposed approach. Efficiency and reliability of the proposed algorithms are investigated by comparing their convergence rate, computational time, errors in frequencies and mode shapes with experimental data. From the results, PSO and PSOGSA show good performance and are suitable for complex and time-consuming analysis such as model updating of a real cable-stayed bridge. Meanwhile, GSA shows a slow convergence for the same number of population and iterations as PSO and PSOGSA.

Modeling and Evaluating Information Diffusion for Spam Detection in Micro-blogging Networks

  • Chen, Kan;Zhu, Peidong;Chen, Liang;Xiong, Yueshan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.3005-3027
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    • 2015
  • Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.

QoS Constrained Optimization of Cell Association and Resource Allocation for Load Balancing in Downlink Heterogeneous Cellular Networks

  • Su, Gongchao;Chen, Bin;Lin, Xiaohui;Wang, Hui;Li, Lemin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권5호
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    • pp.1569-1586
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    • 2015
  • This paper considers the optimal cell association and resource allocation for load balancing in a heterogeneous cellular network subject to user's quality-of-service (QoS) constraints. We adopt the proportional fairness (PF) utility maximization formulation which also accommodates the QoS constraints in terms of minimum rate requirements. With equal resource allocation this joint optimization problem is either infeasible or requires relaxation that yields a solution which is difficult to implement. Nevertheless, we show that this joint optimization problem can be effectively solved without any priori assumption on resource allocation and yields a cell association scheme which enforces single BS association for each user. We re-formulated the joint optimization problem as a network-wide resource allocation problem with cardinality constraints. A reweighted heuristic l1-norm regularization method is used to obtain a sparse solution to the re-formulated problem. The cell association scheme is then derived from the sparsity pattern of the solution, which guarantees a single BS association for each user. Compared with the previously proposed method based on equal resource allocation, the proposed framework results in a feasible cell association scheme and yields a robust solution on resource allocation that satisfies the QoS constraints. Our simulations illustrate the impact of user's minimum rate requirements on cell association and demonstrate that the proposed approach achieves load balancing and enforces single BS association for users.