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A PAPR Reduction Scheme based on Improved PTS with abc algorithm for OFDM Signal 15

A PAPR Reduction Scheme based on Improved PTS with ABC Algor...

15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

作者： Mata, Tanairat Boonsrimuang, Pisit Boontra, Pitchaya Rajamangala Univ Technol Krungthep RMUTK Fac Engn Bangkok 10120 Thailand KMITL Fac Engn Bangkok 10520 Thailand

ISBN: (纸本)9781538635551

A high PAPR is well known as the serious problem of OFDM system because of a huge degradation of its signal quality, especially in the non-linear channel. From the reason, many PAPR reduction schemes have been proposed for solving this problem. The Partial Transmit Sequence (PTS) scheme is one of the PAPR reduction schemes which can improve the PAPR performance effectively. However, its computational complexity would be increased which is proportional to the increasing number of symbol clusters in the optimum PAPR value for a PAPR reduction process. To solve this problem, this paper proposes the PAPR reduction scheme based on the improved PTS with Artificial Bee Colony (abc) algorithm for OFDM system. The potential capability of the proposed scheme is the PAPR reduction performance with low computational complexity which leads to the improvement of signal quality in the OFDM system. The excellent PAPR reduction performance with the low computational complexity of the proposed scheme has been verified by the computer simulations in this paper.

关键词： high PAPR OFDM PAPR reduction scheme improved PTS abc algorithm

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Fuzzy-Stochastic Advance Payment Inventory Model Having No Shortage and with Uniform Demand Using abc algorithm

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International Journal of Applied and Computational Mathematics 2018年第4期4卷 1-19页

作者： Supakar, P. Mahato, S.K. Department of Mathematics Sidho-Kanho-Birsha University Purulia 723104 India

Advance payment is an important issue in inventory models. We, see that the policy of advance payments is of common practice in the today’s market environment. In this paper, an inventory model with advance payment for a single item has been developed. In this model the lead time is taken to be stochastic and also there is no shortage. The crisp model has been developed with these characteristics first. Then the corresponding fuzzy model is formulated. In the fuzzy model, several inventory parameters involved, are taken as parabolic-flat fuzzy numbers. So, finally, the model becomes a fuzzy-stochastic model due to the reason that the lead time is stochastic. The very effective graded mean integration representation method has been used to convert the fuzzy numbers into the crisp numbers. Then the crispified fuzzy-stochastic model has been solved using abc algorithm. Finally, some numerical examples are presented to illustrate the model and the solution methodology. The effects of change of different inventory parameters have been studied and are presented both in tabular form and graphically. © 2018, Springer (India) Private Ltd., part of Springer Nature.

关键词： abc algorithm Advance payment Fuzzy number Fuzzy-stochastic Inventory model Parabolic-flat fuzzy numbers

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Application of an Improved abc algorithm in Urban Land Use Prediction

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INFORMATION 2018年第8期9卷 193页

作者： Huo, Jiuyuan Zhang, Zheng Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou 730070 Gansu Peoples R China Chinese Acad Sci Northwest Inst Ecoenvironm & Resources Lanzhou 730000 Gansu Peoples R China

Scientifically and rationally analyzing the characteristics of land use evolution and exploring future trends in land use changes can provide the scientific reference basis for the rational development and utilization of regional land resources and sustainable economic development. In this paper, an improved hybrid artificial bee colony (abc) algorithm based on the mutation of inferior solutions (MHabc) is introduced to combine with the cellular automata (CA) model to implement a new CA rule mining algorithm (MHabc-CA). To verify the capabilities of this algorithm, remote sensing data of three stages, 2005, 2010, and 2015, are adopted to dynamically simulate urban development of Dengzhou city in Henan province, China, using the MHabc-CA algorithm. The comprehensive validation and analysis of the simulation results are performed by two aspects of comparison, the visual features of urban land use types and the quantification analysis of simulation accuracy. Compared with a cellular automata model based on a particle swarm optimization (PSO-CA) algorithm, the experimental results demonstrate the effectiveness of the MHabc-CA algorithm in the prediction field of urban land use changes.

关键词： abc algorithm cellular automata rule mining land use change prediction

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A Circular Electronic Elements Localization Method Based on abc algorithm

A Circular Electronic Elements Localization Method Based on ...

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第37届中国控制会议

作者： Xin-yu Liu Na Dong Jian-fang Chang Dong-hui Li Ai-guo Wu Academy of Electrical and Information Engineering Tianjin University

In PCB circuit detection system, it is necessary to locate and measure elements accurately. For the circular electronic elements in PCB, this paper proposes a localization method based on artificial bee colony（abc） algorithm. In this method, the three-point method is introduced to correspond a circle with an individual in bee colony, so that the circles are located though bee colony’s search. The first step of circle localization method is extracting the edge in PCB images with the canny operator, then the abc algorithm is used to search the circles. The mean gray values of the candidate circles are defined as fitness *** the guidance of the fitness function, the proposed method can locate an optimal circle in an iteration. In every iteration,the method needs delete the already located circles to prevent that the circles are located repeatedly until all circular electronic elements are located. Experiments show that the method can locate the circular electronic elements with shorter execution time and higher accuracy to meet industrial needs.

关键词： Circle Localization abc algorithm Three-point Method Canny Operator PCB Circular Electronic Elements

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Performance Comparison of Two Channel CMFB and QMF Bank Designed via abc algorithm 25

Performance Comparison of Two Channel CMFB and QMF Bank Desi...

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25th Signal Processing and Communications Applications Conference (SIU)

作者： Ozdemir, Gokcen Karaboga, Nurhan Koza, Turker Erciyes Univ Elekt Elekt Muhendisligi Bolumum Kayseri Turkey Bozok Univ Teknik Bilimler Meslek Yuksekokulu Yozgat Turkey

ISBN: (纸本)9781509064946

In this study, Cosine Modulated Filter Bank design and Quadrature Mirror Filter Bank design are performed using prototype filter designed with Artificial Bee Colony algorithm. The same design example parameters were used for both filter banks;the performances of the filter banks designed at different orders are compared in terms of stopband attenuation, mean square error, peak reconstruction error and computational time.

关键词： CMFB QMF Bank abc algorithm stopband attenuation peak reconstruction error mean square error

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Comparison of QMF Bank Designs in Frequency and Time Domain Using abc algorithm 25

Comparison of QMF Bank Designs in Frequency and Time Domain ...

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25th Signal Processing and Communications Applications Conference (SIU)

作者： Koza, Turker Karaboga, Nurhan Bozok Univ Elekt Program Yozgat Turkey Erciyes Univ Elekt Elekt Muhendisligi Bolumu Kayseri Turkey

ISBN: (纸本)9781509064946

This paper presents a frequency domain signal based design method for quadrature mirror filter (QMF) banks. the proposed filter banks performances were examined and evaluated for the time domain signals In designs, the artificially generated EEG signal and its FFT transform was used. The prototype filter of the QMF bank parameters are designed with artificial bee colony (abc) algorithm. In time and frequency domain designed QMF bank performances are compared and interpreted.

关键词： QMF bank design abc algorithm Fast Fourier transform EEG

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Optimization of geometrical parameters in a specific composite lattice structure using neural networks and abc algorithm

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JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2016年第4期30卷 1763-1771页

作者： Yazdi, M. Sadegh Rostami, S. A. Latifi Kolahdooz, A. Babol Univ Technol Dept Mech Engn Babol Sar Iran Univ Semnan Fac Mech Engn Semnan Iran Islamic Azad Univ Khomeinishahr Branch Young Researchers & Elite Club Khomeinishahr Iran

Due to their light weights and high load carrying capacities, composite structures are widely used in various industrial applications especially in aerospace industry. Strength to weight ratio is known to be as one of the most critical design parameters in these structures. In this paper, geometrical parameters of composite lattice structures are optimized to obtain the desired strength to weight ratio using finite element method, neural networks and abc algorithm. At first, the finite element model is validated by experimental results and neural network is employed as the fitness function. The abc algorithm is also applied to achieve the optimized strength to weight ratio. The results obtained from PSO algorithm on the basis of neural network have shown reasonable agreement with those of the finite element simulation. Increasing the thickness of the outer shell causes the structural strength-to-weight ratio to rise by 50 percent. The next effective parameter is reduction of rib angle which provides an increase of 30 percent in strength-to-weight ratio. Although Stiffeners (ribs) have a major role in load carrying, increasing the rib thickness causes the structural weight to rise. Thus compared with the two previous parameters, they do not have a significant effect on the strength of structures.

关键词： Composite lattice structure Finite element Neural network abc algorithm

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Efficient Localization in Edge Detection by Adapting Articial Bee Colony (abc) algorithm 7th

Efficient Localization in Edge Detection by Adapting Articia...

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International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC)

作者： Vasquez F, Jaime Contreras A, Ricardo Pinninghoff J, M. Angelica Univ Concepcion Dept Comp Sci Concepcion Chile

ISBN: (纸本)9783319597409;9783319597393

The problem of edge detection considers two stages: localization and identification, where localization is the search of pixels in an image and identification is the process of deciding if a pixel belongs, or not, to an edge. The Canny edge detector has an effective identification involving the analysis of every pixel that belongs to an image. On the other side, artificial bee colony (abc) algorithm simulates the foraging behavior of honey bees, doing an efficient search of food sources. In this proposal, abc algorithm and Canny are integrated to create abc-ED, an efficient edge detector algorithm, that does not require to analyze all the pixels of an image to detect its edges. The dataset BSDS500 was used for experimentation, and results show that it is not necessary to analyze every pixel in the image to detect the same edges detected when using Canny.

关键词： abc-ED abc algorithm Edge detection Canny edge detector

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Performance Optimization of Axial-flow Hydraulic Turbine Using Artificial Bee Colony (abc) algorithm

Performance Optimization of Axial-flow Hydraulic Turbine Usi...

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International Conference on Sustainable Energy Engineering and Application (ICSEEA) - Continuous Improvement of Sustainable Energy for Eco-Mobility

作者： Soesanto, Qidun Maulana Binu Susatyo, Anjar Widiyanto, Puji Indonesian Inst Sci Res Ctr Elect Power & Mechatron Bandung Indonesia

ISBN: (纸本)9781538617656

This paper presents the numerical optimization of axial-flow hydraulic turbine performance. The turbine was designed to operate at a net head of 0.9 meters, a rotational speed of 500 rpm, and maximum flow rates are 0.12 m(3)/s. The initial turbine design was optimized by using shock-free inflow criterion to minimize the hydrofoil losses at the turbine cascades. Potential flow of the hydrofoil was analyzed using surface vorticity model with modified coupling coefficient to deal with turbomachinery blade cascades. The abc algorithm was used to arrange the geometry of guide vane's and runner blade's cascades to meet the shock-free inflow criterion. In the present study, the cascade geometry optimization of the axial-flow hydraulic turbine is divided into two main steps. Firstly, cascade at each section of guide vane was optimized by arranging two design variables, i.e. stagger angle and chamber line of the hydrodynamic profile. Secondly, cascade at each section of runner blade was optimized by arranging one design variable, i.e., stagger angle. Both steps have the same objective function that minimizes the difference between the design of inlet flow angles and shock-free inflow angles. The optimization results showed that the abc algorithm performed very well, the average of best values at each section was an order of magnitude of -14. The performance of turbines was predicted using computational fluid dynamics (CFD) approach based on finite volume method. The numerical results showed that the optimization of two-dimensional cascades geometries by using shock-free inflow criterion successfully improved the performance of initial design of axial-flow hydraulic turbine.

关键词： axial-flow hydraulic turbine shock-free inflow criterion abc algorithm CFD

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Security Constraint Unit Commitment on Combined Solar Thermal Generating Units using abc algorithm

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INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH 2016年第4期6卷 1361-1372页

作者： Sreejith, S. Gandhi, Indra Samiappan, Dhanalakshmi Muruganandam, M. VIT Univ Sch Elect Engn Vellore Tamil Nadu India SRM Univ Dept ECE Madras Tamil Nadu India Wollega Univ Dept Elect & Comp Engn Nekemte Ethiopia

In this paper, Security Constrained Unit Commitment (SCUC) problem with combined Thermal-Solar generating units is solved using Artificial Bee Colony (abc) algorithm. SCUC problem aims to obtain minimum generation cost while satisfying the system, network and security constraints. The SCUC problem is divided into Unit Commitment Problem (UCP) which is considered as the master problem and Security Constrained Economic Dispatch (SCED) is considered as the sub problem. Here, both thermal and solar generations are considered in UCP and SCED solutions. Binary Coded abc algorithm is used to solve the UCP and Real Coded abc algorithm is used for solving the SCED problem. The constraints such as spinning reserves, hourly load demands, ramp up/ramp down limits of generators, minimum up/down limits, line flow and voltage limits are considered in the problem formulation. Beta distribution function is employed to forecast the solar power generation in different seasons. The comparison is carried out with and without incorporating solar generation. The proposed method is validated on a 6 bus system and a South Indian 86 bus utility.

关键词： Solar farm Security Constraints Unit Commitment Beta distribution function abc algorithm

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