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10th International Conference on Informatics and Systems (INFOS)

作者： Hamza, Kamal S. Amir, Fathy Cairo Univ Dept Informat Technol Giza Egypt

ISBN: (纸本)9781450340625

Emerging practical deployments for the Internet of Things (IoT) trigger a need to integrate and inter-operate a variety of heterogenous networks to realize real business values. Several applications require the integration of wireless sensor networks (WSN), WiFi, and Radio Frequency Identifiers (RFID) into one single network to fulfil business requirements. As most of such deployments are characterized as being large-scale and heterogeneous, special algorithms and techniques are needed in order to deal with data collection, processing, and transmission in such networks. Results reported in the literature confirm that clustering techniques can be very efficient in dealing with routing in large-scale networks. However;due to the heterogeneity of IoT networks, the use of conventional clustering techniques may not result in an efficient clustering. Accordingly, in this paper, we attempt to address this problem by studying the use of evolutionary clustering algorithms in integrated WSN-RFID networks. In particular, the performance of two evolutionary algorithms;namely the Genetic algorithms (GA) and the harmony search (HS), is analyzed and compared. It is shown that, the GA outperforms the HS significantly in the cluster formation process for integrated WSN-RFID networks.

关键词： WSN IoT RFID Evolutionary algorithm Genetic algorithms harmony search algorithm

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Comparative Performance of Wind Turbine Driven PMSG with PI-Controllers Tuned Using Heuristic Optimization algorithms

Comparative Performance of Wind Turbine Driven PMSG with PI-...

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IEEE International Energy Conference (ENERGYCON)

作者： Ali, A. Moussa, A. Abdelatif, K. Eissa, M. Wasfy, S. Malik, O. P. Helwan Univ Elect Power & Machines Engn Dept Cairo Egypt Univ Calgary Dept Elect Engn Calgary AB Canada

ISBN: (纸本)9781479924493

An efficient methodology for the tuning of proportional-integral controllers' gains for the generator-side converter of a wind turbine driven permanent magnet synchronous generator using a self-adaptive global best harmony search algorithm is proposed. Performance of the generator with the optimized controller parameters obtained using the proposed algorithm is compared with the parameters obtained using the Ziegler-Nichols technique, bees colony, and simulated annealing algorithms. Studies demonstrate that the performance of the system with the optimized controller parameters permits an improvement of the converter capability.

关键词： harmony search algorithm Permanent Magnet Synchronous Generator PI-Controllers Power Converter Renewable Wind Energy

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An adaptive pre-signal setting to provide bus priority under a coordinated traffic-responsive network 23

An adaptive pre-signal setting to provide bus priority under...

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23rd IEEE International Conference on Intelligent Transportation Systems (ITSC)

作者： Zhang, Yi ASTAR Inst Infocomm Res I2R Singapore 138632 Singapore

ISBN: (纸本)9781728141497

The transits constitute the traffic skeleton of the city. With the installation of the high-tech sensors and the emergence of the high-speed communication, interest to grant bus priority via traffic signals grows rapidly during recent years. Pre-signal is an additional traffic signal located upstream of the main signal, which is used to discontinue the private cars and accordingly allow buses jumping the car queue. Compared with the traditional dedicated bus lane through the whole link, the pre-signal can provide bus priority meanwhile minimizing the negative impacts on car traffic. In this paper, we propose an adaptive signal strategy for a traffic network by adjusting the pre-signal as well as the main signal in order to minimize the total passenger delay. A macroscopic model based on cell transmission model is developed, where the link is partitioned into the car cell, the bus cell and the mixed cell. The merging and the diverging of the car flow and the bus flow are elaborated modeled for each type of the cell. With the aim to obtain the signal setting in real time, the harmony search algorithm is adopted to solve the optimization problem. Finally, the case studies illustrate the efficacy of the proposed strategy.

关键词： bus movement management dedicated bus lane adaptive pre-signal setting harmony search algorithm

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A Novel Approach For Smart Curriculum Sequencing Based On HSA Evolutionary Computation 4

A Novel Approach For Smart Curriculum Sequencing Based On HS...

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4th IEEE International Colloquium on Information Science and Technology (CiSt)

作者： Hnida, Meriem Idrissi, Mohammed Khalidi Bennani, Samir Mohammed V Univ Rabat Mohammadia Sch Engineers EMI RIME Team LRIE Lab Rabat Morocco

ISBN: (纸本)9781509007516

In this paper, an evolutionary algorithm is applied to tackle Intelligent Curriculum Sequencing issue. The purpose is to align educational technology, for instance, curriculum sequence to: students' characteristics and subject-matter coherence. The algorithm considers both technical and pedagogical point of view. Results show that the proposed Evolutionary Computation search algorithm could find optimal learning sequences, under a set of constraints, within a reasonable amount of iterations.

关键词： Adaptive Learning Intelligent Educational Technology Intelligent Curriculum Sequencing harmony search algorithm Evolutionary Computation

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On Lifetime Enhancement of Dynamic Wireless Sensor Networks with Energy-Harvesting Sensors

On Lifetime Enhancement of Dynamic Wireless Sensor Networks ...

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IEEE/CIC International Conference on Communication in China (ICCC)

作者： Lin, Chun-Cheng Deng, Der-Jiunn Shu, Lei Wang, Kun Wang, Shang-Bin Tsai, I-Hsin Natl Chiao Tung Univ Dept Ind Engn & Management Hsinchu Taiwan Natl Changhua Univ Educ Dept Comp Sci & Informat Engn Changhua Taiwan Guangdong Univ Petrochem Technol Guangdong Prov Key Lab Petrochem Equipment Fault Maoming Peoples R China Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509021437

This work investigates the problem of extending the lifetime of dynamic WSNs with energy-harvesting (EH) sensors to enhancing the total WSN lifetime. This problem is modeled as finding the maximal number of covers each of which can cover all targets to be monitored. Since the concerned problem is also NP-complete, this work proposes a novel harmony search algorithm. By simulation, the proposed algorithm is shown to be promising.

关键词： Wireless sensor network energy-harvesting sensor harmony search algorithm

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Study on HS-RNN in Vibration Prediction of Mechanical Spindle 33

Study on HS-RNN in Vibration Prediction of Mechanical Spindl...

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33rd Chinese Control and Decision Conference (CCDC)

作者： Pian, Jinxiang Tamanna, Masuma Rifah Abdulmajid, Alkasim Usman Shenyang Jianzhu Univ Acad Sch Informat & Control Engn Shenyang 110168 Liaoning Peoples R China Shenyang Jianzhu Univ Int Sch Shenyang 110168 Liaoning Peoples R China

ISBN: (纸本)9781665440899

Mechanical spindle in the high-speed operation due to an uneven distribution of the rotor mass, causing the spindle to vibrate thus affecting its accuracy. Therefore, the model of mechanical spindle vibration prediction is of great significance. The mechanism of mechanical spindle vibration prediction is complex, and the amplitude of vibration varies nonlinearly with the speed. It is difficult to establish accurate model of mechanical spindle vibration prediction. In this paper, RNN (Recurrent Neural Network) recurrent neural network is used to establish the model of mechanical spindle vibration prediction. The vibration amplitude of the built-in balance block at different positions and spindle speeds is predicted. harmony search(HS)Through self-learning update, thereby improving the accuracy of the mechanical spindle vibration prediction model. The experimental results show that the HS-RNN-based mechanical spindle vibration prediction method proposed in this paper can automatically determine the network structure and accurately predict the vibration amplitude of the mechanical spindle.

关键词： harmony search algorithm RNN Recurrent Neural Network Vibration Prediction Mechanical Spindle

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Research on Telecom Customer Churn Prediction Method Based on Data Mining 14th

Research on Telecom Customer Churn Prediction Method Based o...

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14th CCF Conference on Computer Supported Cooperative Work and Social Computing

作者： Liang, Xuechun Chen, Shuqi Chen, Chen Zhang, Taoning Nanjing Tech Univ Nanjing Peoples R China

ISBN: (纸本)9789811513770;9789811513763

Aiming at overcoming the shortcomings of common telecommunication customer churn prediction models as single model and poor classification performance, a gradient decision tree integration model (GBDT) prediction model is proposed, and the important parameters are searched by harmonic search algorithm (HS). We built a telecom customer churn prediction model based on HS-GBDT algorithm. This model compares the parameter combinations to be optimized in the GBDT algorithm into the synthesized harmony in the HS algorithm, and seeks the optimal parameter combination of the GBDT model through continuous iteration of the harmony. The experimental results show that the combined model has higher classification accuracy than Logistic regression, support vector machine and random forest, and can provide good decision support for major telecom operators in the process of customer churn management.

关键词： Telecom customer churn prediction harmony search algorithm Gradient Boosting Decision Tree Combined model

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Application and Design of New Controller Based on Fuzzy PID and FACTS Devices in Multi-machine Power System

Application and Design of New Controller Based on Fuzzy PID ...

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IEEE International Conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power Systems Europe (ICPS Europe)

作者： Bagheri, Mehdi Mukhatov, Azamat Abedinia, Oveis Naderi, Mohammad Salay Naderi, Mehdi Salay Ghadimi, Noradin Nazarbayev Univ Elect & Comp Engn Dept Astana 010000 Kazakhstan Budapest Univ Technol & Econ Dept Elect Power Engn Budapest Hungary Islamic Azad Univ Elect & Comp Engn Dept Tehran North Branch Tehran Iran Amirkabir Univ Technol Iran Grid Secure Operat Res Ctr Tehran Iran Islamic Azad Univ Young Researchers & Elite Club Ardabil Branch Ardebil Iran

ISBN: (纸本)9781538651865

This paper presents a new strategy includes of fuzzy PID controller and Flexible AC transmission system (FACTS) devices in power system for damping the oscillation. This models improves the stability in multi-machine power system by coupling the fuzzy controller with an intelligent algorithm and equipping the FACTS devices to control voltages and power flows. Also, the thyristor-controlled series capacitor (TCSC) as well as Static VAR Compensator (SVC) effects have been considered in this design. The harmony search algorithm (HSA) is applied in this model for fine tuning of the fuzzy PID parameters through time overriding and stability enhancement of proposed controller. Effectiveness of the proposed approach is applied over standard multi-machine power system through comparison with other techniques. Obtained results demonstrate the validity of proposed strategy.

关键词： FACTS devices Fuzzy PID harmony search algorithm stability multi-machine

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An Improved Optimization algorithm Applied in Image Processing 37

An Improved Optimization Algorithm Applied in Image Processi...

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37th Chinese Control Conference (CCC)

作者： Zhang, Ping Wang, Hongyu Zhang, Yining Anshan Normal Univ Dept Phys Anshan 114005 Peoples R China

ISBN: (纸本)9789881563958

To deal with the default of harmony search algorithm (HSA) of trapping into local optima for search for optimization results. An improved algorithm-harmony search has been presented in this paper. And inspired by big data analysis, I present a new concept-analysis and application of historical data. A mass of data, generated in the search process of the HSA, can be used to set up an instructive think tank to guide the optimizing search instead of the optimal solution and elitist solution app: addword: Elitist solution. After that, a probability distribution model is built according to historical data to forecast search trend. Specifically, the following tasks will be carried out and applied in image processing. The experience results have been proved that the new model would get better results than harmony search algorithm.

关键词： harmony search algorithm Image processing Instructive think tank Optimization system

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Improved genetic algorithm and its application to determination of critical slip surface with arbitrary shape in soil slope

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中国高等学校学术文摘·建筑与土木工程 2008年第2期2卷 145-150页

作者： Liang LI Shichun CHI Yungming CHENG Gao LIN School of Civil and Hydraulic Engineering Dalian University of TechnologyDalian 116023China Department of Civil and Structural Engineering Hong Kong Polytechnic UniversityHong KongChina

In order to overcome the problem of being trapped by the local minima encountered in applying the simple genetic algorithm (GA) to search the critical slip surface of the slope,an improved procedure based on the harmony search algorithm is *** the searching computation,the new solutions are obtained from the whole information of the current *** proposed method may be applied to calculate the minimum factors of safety of two complicated soil *** of the results with existing examples given by other authors has shown that the proposed method is feasible for stability analysis of soil slopes.

关键词： slope stability limit equilibrium factor of safety genetic algorithm harmony search algorithm arbitrary slip surface

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