• 제목/요약/키워드: information-maximization method

검색결과 151건 처리시간 0.032초

Metaheuristic Optimization Techniques for an Electromagnetic Multilayer Radome Design

  • Nguyen, Trung Kien;Lee, In-Gon;Kwon, Obum;Kim, Yoon-Jae;Hong, Ic-Pyo
    • Journal of electromagnetic engineering and science
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    • 제19권1호
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    • pp.31-36
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    • 2019
  • In this study, an effective method for designing an electromagnetic multilayer radome is introduced. This method is achieved by using ant colony optimization for a continuous domain in the transmission coefficient maximization with stability for a wide angle of incidence in both perpendicular and parallel polarizations in specific X- and Ku-bands. To obtain the optimized parameter for a C-sandwich radome, particle swarm optimization algorithm is operated to give a clear comparison on the effectiveness of ant colony optimization for a continuous domain. The qualification of an optimized multilayer radome is also compared with an effective solid radome type in transmitted power stability and presented in this research.

Sigma-Delta A/D 변환기의 새로운 이득 최적화 방식 (New Gain Optimization Method for Sigma-Delta A/D Convertors)

  • 정요성;장영범
    • 대한전자공학회논문지TC
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    • 제46권9호
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    • pp.31-38
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    • 2009
  • 이 논문에서는 Sigma-Delta A/D 변환기의 새로운 이득 최적화 방식을 제안한다. 제안된 방식은 변조기의 SNR을 최대화하는 상위 10개의 이득 값 후보군을 선정한 후에 데시메이션 필터를 통과시켜 가장 작은 MSE를 보이는 이득 값을 최적의 이득으로 결정하는 방식이다. 1차의 단일 비트 변조기의 실험 모델을 통하여 변조기의 후보군 중 6위를 보인 이득 값이 가장 작은 MSE를 보였다. 제안된 방식은 변조기의 SNR을 최대화하는 기존의 아이디어와 데시메이션 필터로 사용되는 CIC 필터의 샘플합 특성을 이용하여 최적의 이득 값을 결정하는 장점을 갖는다. 이 논문에서 제안한 이득 최적화 방식은 변조기의 실험을 통하여 더 많은 후보군을 선정하여 CIC 필터를 시뮬레이션하면 더 좋은 결과를 얻을 수 있을 것이다.

무선 멀티 홉 통신에서 협력적인 무선 에너지 공유를 통한 생존시간 최대화 (Lifetime Maximization with Cooperative Wireless Energy Sharing in Wireless Multi-Hop Communications)

  • Choi, Hyun-Ho
    • 한국정보통신학회논문지
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    • 제24권11호
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    • pp.1550-1553
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    • 2020
  • In this paper, we maximize the lifetime of a multi-hop path through a cooperative wireless energy sharing scheme between constituent nodes in a wireless multi-hop communication. Considering a bidirectional multi-hop communication environment, we present an optimization problem to maximize path lifetime by adjusting the amount of energy each node needs to share with its neighboring nodes. On the basis of solidarity property, i.e., the lifetime of the multi-hop path is maximized when the lifetimes of all nodes are the same, we convert the considered optimization problem into a linear programming problem and solve it easily. Simulation result shows that the proposed two-way wireless energy sharing method maximizes the path lifetime of multi-hop communications and approximately doubles the path lifetime compared with the one-way energy sharing method.

Optimal user selection and power allocation for revenue maximization in non-orthogonal multiple access systems

  • Pazhayakandathil, Sindhu;Sukumaran, Deepak Kayiparambil;Koodamannu, Abdul Hameed
    • ETRI Journal
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    • 제41권5호
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    • pp.626-636
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    • 2019
  • A novel algorithm for joint user selection and optimal power allocation for Stackelberg game-based revenue maximization in a downlink non-orthogonal multiple access (NOMA) network is proposed in this study. The condition for the existence of optimal solution is derived by assuming perfect channel state information (CSI) at the transmitter. The Lagrange multiplier method is used to convert the revenue maximization problem into a set of quadratic equations that are reduced to a regular chain of expressions. The optimal solution is obtained via a univariate iterative procedure. A simple algorithm for joint optimal user selection and power calculation is presented and exhibits extremely low complexity. Furthermore, an outage analysis is presented to evaluate the performance degradation when perfect CSI is not available. The simulation results indicate that at 5-dB signal-to-noise ratio (SNR), revenue of the base station improves by at least 15.2% for the proposed algorithm when compared to suboptimal schemes. Other performance metrics of NOMA, such as individual user-rates, fairness index, and outage probability, approach near-optimal values at moderate to high SNRs.

Profit-Maximizing Virtual Machine Provisioning Based on Workload Prediction in Computing Cloud

  • Li, Qing;Yang, Qinghai;He, Qingsu;Kwak, Kyung Sup
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.4950-4966
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    • 2015
  • Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.

Role of Decision Support Systems in Marketing Management

  • Arshi Naim;Kholood Alqahtani
    • International Journal of Computer Science & Network Security
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    • 제24권8호
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    • pp.153-158
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    • 2024
  • This paper is an extended paper showing the role of Decision Support Systems (DSS) in other fields of Marketing Management (M.Mgnt). DSS facilitates in decision making many M.Mgnt concepts and Customer Relationship Management (CRM) is one of them and it depends on the firm's tasks for developing and retaining customers while achieving their satisfaction and enhancing the sense of belongingness for their products and services. Profit maximization, the process of customer value, and building strategic values for the firm are the three empirical benefits of CRM that are achieved through analytical, operational, and direction (AOD) capabilities respectively. This research focuses on the application of DSS models of what-if analysis (WIA) for CRM at (AOD) and also shows the dependence on the Information Success model (ISM). Hypothetical data are analyzed for (AOD) by three types of (WIA) to attain CRM and profit maximization and this analytical method can be used by any customer-oriented firm as a general model.

효율적인 기저 변환 (Efficiency Base Conversion)

  • 박춘명
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2017년도 춘계학술대회
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    • pp.754-755
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    • 2017
  • 본 논문에서는 최근 21세기의 지식정보화 시대의 ICT 분야에서 그 중요성과 응용 부분이 극대화되고 있는 유한체상에서의 기저 변환에 대한 한 가지 방법을 제안하였다. 제안한 방법은 기존의 방법에 비해 규칙적이고 확장성의 용이하고, 각종 IT 분야에 적용 및 응용이 가능하다.

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Channel Capacity Maximization in a Distorted 2×2 LOS MIMO Link

  • Ko, In-Chang;Park, Hyung-Chul
    • Journal of information and communication convergence engineering
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    • 제16권2호
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    • pp.72-77
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    • 2018
  • This paper presents a novel channel capacity maximization method for a distorted $2{\times}2$ line-of-sight (LOS) multiple-input multiple-output (MIMO) link. A LOS MIMO link may be distorted by the influence of environmental factors such that the channel capacity of the LOS MIMO link may be degraded. By using the proposed method, the channel capacity of a distorted $2{\times}2$ LOS MIMO link can be the same as that of the ideal $2{\times}2$ LOS MIMO link. The proposed method employs an additional receiver antenna to maximize the channel capacity. In contrast to a $3{\times}2$ LOS MIMO link, a receiver circuit for a third receiving antenna is not necessary. Hence, the receiver for the proposed method is much simpler than that for a $3{\times}2$ LOS MIMO link. We determine the optimal position of the additional receiver antenna analytically. Simulation results show that the channel capacity can approach the ideal using the proposed method.

영확률 최대화에 근거한 효율적인 적응 알고리듬 (Efficient Adaptive Algorithms Based on Zero-Error Probability Maximization)

  • 김남용
    • 한국통신학회논문지
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    • 제39A권5호
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    • pp.237-243
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    • 2014
  • 이 논문에서는, 영확률을 최대화 (maximum zero-error probability, MZEP) 하도록 설계된 알고리듬에서 가중치 갱신에 쓰이는 기존의 블록 처리 방식의 합산 연산을 대신하여, 다음 기울기 계산에 현재 계산된 기울기를 활용할 수 있는 효율적인 가중치 갱신 계산 방식을 제안하였다. 실험 결과로부터, 제안한 방식은 원래의 MZEP 와 동일한 성능을 나타내면서도 오차 버퍼가 불필요하여 시스템의 복잡도를 감소시키며 연산 시간을 현저히 줄일 수 있다. 또한 제안한 알고리듬은 오차 엔트로피 (error-entropy)를 최소화하도록 설계된 알고리듬보다 우수한 수렴 속도를 지닌다.

로보트 매니퓰레이터를 위한 이산시간 궤적 계획방법 (A Discrete-Time Trajectory Planning Method for robotic Manipulators)

  • Lee, Bum-Hee
    • 대한전자공학회논문지
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    • 제25권2호
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    • pp.152-161
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    • 1988
  • In this paper, a direct method for obtaining the trajectory set points is investigated in discrete-time, which is different from the other conventional schemes. We consider the tracking of a straight line path, where the trajectory set points for manipulator control are determined exactly on the straight line path. For the purpose of the munimum-time operation of manipulators, the problem is formulated as a maximization of the Cartesian distance between two consecutive servo time instants. The maximization is subject to the smoothness and torque constraints. Several algorithms are developed and utilized to maximize the Cartesian distance. The proposed approach has been simulated on a VAX-11/780 computer to verify its performance.

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