Wireless sensor network nodes have been used to collect data from processes in several different areas. In most cases, these sensors and their batteries need to be recharged regularly. However, these sensors are often...
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ISBN:
(纸本)9781509033027
Wireless sensor network nodes have been used to collect data from processes in several different areas. In most cases, these sensors and their batteries need to be recharged regularly. However, these sensors are often deployed in harsh environments that can damage them with moist and dust particles. Therefore this work aims to present a contactless inductive charger developed to avoid jack or plug holes on the sensor casing in order to prevent damage to its circuitry. This battery charger uses a resonant topology circuit and an algorithm to adjust the resonant frequency. Unlike a previous work, it measures the current through the primary coil to determine the optimal point, which yields a simpler solution. The concept has been proven to be effective while keeping low cost and simplicity, which are important aspects to wireless sensor networks.
Battery energy storage system (BESS) operation management, including charging/discharging scheduling, is generally a complicated, non-linear optimization problem with constrains. To solve the high-dimension optimizati...
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ISBN:
(纸本)9781509034741
Battery energy storage system (BESS) operation management, including charging/discharging scheduling, is generally a complicated, non-linear optimization problem with constrains. To solve the high-dimension optimization problems, this paper proposes a novel electron drifting algorithm (EDA) to avoid the common disadvantages that most existing optimization algorithms have, such as easy to trap in a local optimal point and sensitive to given initial solutions. All the proposed EDA mainly mimics the features of electron drifting. The solutions having been searched in the past iterations are stored in a database to constitute an electric field. The electrons, which represent solutions, are generated at random location and drift according to the electric field. Benchmark functions are adopted to verify the effectiveness of the proposed EDA before its application to the BESS scheduling problem of a home energy management system (HEMS). The numerical results obtained from the proposed EDA are compared with the existing optimization algorithms to verify the enhanced searching efficiency and capability of the proposed EDA.
The local shadow can easily make the photovoltaic (PV) array appear hot spot phenomenon, reduce the output power and affects the security and the reliability of the PV power generation system;At the same time, the P-V...
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ISBN:
(纸本)9781509023967
The local shadow can easily make the photovoltaic (PV) array appear hot spot phenomenon, reduce the output power and affects the security and the reliability of the PV power generation system;At the same time, the P-V characteristic of PV array is changed from single peak curve to multi peak curve, which makes the MTTP controller unable to achieve maximum power tracking. In order to solve the problem that the output power is affected by the partial shading, in this paper, a global optimization method for PV array reconfiguration is adopted. By changing the connection mode of the PV array, shadow localized PV array by optimization algorithm can achieve optimal distribution of shadows, maximally achieve the output power of PV array smoothly under the condition of shadow, improve the output power of the whole PV array to some extent. It also eliminate the local peak value, improve the multi peak phenomenon and verify the effectiveness of the optimization strategy by PSCAD/EMTDC simulation.
A new hybrid Multi-objective Shuffled Bat optimization algorithm is proposed in this paper for Distributed generations (DGs) optimal placement and sizing. Multiple objectives like system power losses, cost of DG and s...
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ISBN:
(纸本)9781509025978
A new hybrid Multi-objective Shuffled Bat optimization algorithm is proposed in this paper for Distributed generations (DGs) optimal placement and sizing. Multiple objectives like system power losses, cost of DG and system voltage profiles are considered to evaluate the impact of DG placement and sizing for an optimal development of the distribution system with load variations. Furthermore, the study is demonstrated with different % loading such as 80,100 and 120% of base load condition. The proposed technique is tested in 33 bus distribution network, and compared against Non-dominated Sorting Genetic algorithm II (NSGA-II).
Sequential quadratic programming has been widely used in the optimization of transient control of aircraft engine. On the other hand, the study of nonlinear optimization theory and method has been made great advance i...
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ISBN:
(纸本)9783662483862;9783662483848
Sequential quadratic programming has been widely used in the optimization of transient control of aircraft engine. On the other hand, the study of nonlinear optimization theory and method has been made great advance in recent years, of which active set method is one of the effective measures. In this article, the two algorithms are used to optimize the inputs based on one turbofan engine model. Results from the simulation comparisons of the two algorithms, advantages and disadvantages are given.
In this paper we present two linear filtered positional GMV control designs using the indirect and repetitive control approaches to cope with setpoint changes and step or periodic disturbance rejection. Also, an optim...
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ISBN:
(纸本)9781509051274
In this paper we present two linear filtered positional GMV control designs using the indirect and repetitive control approaches to cope with setpoint changes and step or periodic disturbance rejection. Also, an optimization algorithm is applied to tune the filter parameters. Numerical and practical essays with nonlinear models are shown to verify the efficiency, stability and robustness when moving the operating condition of the processes.
Cloud computing provides a framework for supporting end users easily attaching powerful services and applications through Internet. To give secure and reliable services in cloud computing environment is an important i...
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Cloud computing provides a framework for supporting end users easily attaching powerful services and applications through Internet. To give secure and reliable services in cloud computing environment is an important issue. Providing security requires more than user authentication with passwords or digital certificates and confidentiality in data transmission, because it is vulnerable and prone to network intrusions that affect confidentiality, availability and integrity of Cloud resources and offered services. To detect DoS attack and other network level malicious activities in Cloud, use of only traditional firewall is not an efficient solution. In this paper, we propose a cooperative and hybrid network intrusion detection system (CH-NIDS) to detect network attacks in the Cloud environment by monitoring network traffic, while maintaining performance and service quality. In our NIDS framework, we use Snort as a signature based detection to detect known attacks, while for detecting network anomaly, we use Back-Propagation Neural network (BPN). By applying snort prior to the BPN classifier, BPN has to detect only unknown attacks. So, detection time is reduced. To solve the problem of slow convergence of BPN and being easy to fall into local optimum, we propose to optimize the parameters of it by using an optimization algorithm in order to ensure high detection rate, high accuracy, low false positives and low false negatives with affordable computational cost. In addition, in this framework, the IDSs operate in cooperative way to oppose the DoS and DDoS attacks by sharing alerts stored in central log. In this way, unknown attacks that were detected by any IDS can easily be detected by others IDSs. This also helps to reduce computational cost for detecting intrusions at others IDS, and improve detection rate in overall the Cloud environment. (C) 2016 The Authors. Published by Elsevier B.V.
A new efficient binary optimization method based Teaching-Learning-Based optimization (TLBO) algorithm is proposed to design an array of plasmonic nano disks in order to achieve maximum absorption coefficient spectrum...
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A new efficient binary optimization method based Teaching-Learning-Based optimization (TLBO) algorithm is proposed to design an array of plasmonic nano disks in order to achieve maximum absorption coefficient spectrum. In Binary TLBO (BTLBO), a group of learner consists a matrix with binary entries, control the presence ('1') or the absence ('0') of nano particles in the array. Simulation results show that absorption coefficient strongly depends on the localized position of nano particles and non-periodic structures have more appropriate response in term of absorption coefficient. This approach is useful in optical applications such as solar cells and plasmonic nano antenna.
Here, we theoretically suggest the possibility of optical nonlinear enhancement by employing the binary optimization of plasmonic nano-bi-domes. Since the nonlinear coefficient depends strongly on the number of plasmo...
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Here, we theoretically suggest the possibility of optical nonlinear enhancement by employing the binary optimization of plasmonic nano-bi-domes. Since the nonlinear coefficient depends strongly on the number of plasmonic nanoparticles and the nanoparticles location, binary particle swarm optimization (BPSO) algorithm is proposed to design an optimized array of the plasmonic nano-bi-domes in order to achieve the maximum nonlinear coefficient in the optical frequency. In BPSO, a swarm consists of a matrix with binary entries, control the presence ('1') or the absence ('0') of nano-bi-domes in the array. It is shown that the interaction between six nano-bi-domes leads to a very strong amplification of the Electro Magnetic (EM) fields inside and in the near-field range outside the particles. Correspondingly, such systems exhibit strong resonance peaks in the nonlinear coefficient spectrum.
PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about th...
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ISBN:
(纸本)9781509020003
PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about their characteristics with the aim at improving image recognition process". Therefore, this study presents a novel approach to object recognition based on the pattern by using photo layers and by defining the objects' specific characteristics. We select and introduce the parameters which determine a higher efficiency of image retrieval of the image objects. In this paper, we describe how the same photos are recognized in a process of classical retrieval compared to our model by analyzing two prototypes;one grounded on the number of pixels, while in another one the objects are recognized by computing the number of shapes. In addition, we optimize our algorithm by using similarity attributes of some shapes. Such methodology empowers pattern recognition-based searching process with a very precise identification of the rotated objects, which are hardly ever retrieved by the most search engines. Even if so, the matching seems incidental, which does not influence the overall efficiency of the particular search system. From this perspective, our algorithm outperforms other object recognition approaches and can be applied to other image processing systems.
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