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Journal articles on the topic 'Fuzzy switcher rules'

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1

Qi, Wei Qiang, Yan Ran Li, Hai Feng Ye, Da Peng Duan, and Xiu Chen Jiang. "Research on Classification of Partial Discharge of Switchgear Cabinets Based on a Novel Association Rule Algorithm." Applied Mechanics and Materials 448-453 (October 2013): 3485–93. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3485.

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In order to assess switchgear insulation status, a novel association rule mining (ARM) algorithm is presented. It is used to recognize the severity of switchgear cabinet partial discharge. The algorithm uses fuzzy C-means clustering (FCM) to divide partial discharge feature interval, candidate sets meeting minimum support and minimum confidence are sought based on an improved Apriori algorithm. Multiple recursions and scans are performed on candidate sets to generate association rules library for classification. Fuzzy reasoning based on association rules are performed over multiple needle coro
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2

Eksin, I., M. Güzelkaya, and S. Tokat. "Self-tuning mechanism for sliding surface slope adjustment in fuzzy sliding mode controllers." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 5 (2002): 393–406. http://dx.doi.org/10.1177/095965180221600503.

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There is an important relationship between fuzzy logic control and sliding mode control and integrating them to exploit the superior sides of these two techniques is an active area in control theory. The dynamic behaviour of the hybrid fuzzy sliding mode depends quite heavily on the sliding surface on which the control structure is switched. The main objective of this paper is to improve the system performance by continuously updating the slope of the sliding surface by a new time-varying coefficient. General and system independent meta-rules are generated in order to update this coefficient.
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Jiang, Taiping, Zili Wang, and Fuyang Chen. "Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme." Mathematical Problems in Engineering 2021 (March 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/6693562.

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This paper proposes a signal timing scheme through a two-stage fuzzy logic controller. The controller first determines the signal phase and then adjusts the green time. At the first stage, the adaptive membership function of vehicle arrival rate is improved to adapt to the changing traffic flow. In addition to arrival rate and queue vehicles, a specific phase order rule is considered to avoid disordered phase selection in fuzzy control. At the second stage, the green time detection module decides whether to extend the current green time or switch phases every few seconds and the vehicle arriva
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Pushparajesh V. and Narayana Swamy Ramaiah. "Artificial Intelligent Controller-Based Speed Control of Switched Reluctance Motor." International Journal of Organizational and Collective Intelligence 11, no. 3 (2021): 1–13. http://dx.doi.org/10.4018/ijoci.2021070101.

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A new control methodology for controlling the speed of switched reluctance motor (SRM) drive using an intelligent controller is proposed in this paper. The control technology consists of an outer loop fuzzy controller as a speed controller and hysteresis current controller as the inner control loop along with control of switching angles for the four-phase, 8/6 SRM. In this proposed method, the speed control is optimized using the randomly determined fuzzy parameters. Fuzzy interfaced speed control of SRM is simulated using MATLAB/SIMULINK software. The robust performance of the fuzzy logic con
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Ghalehnoie, Mohsen, Mohammad-Reza Akbarzadeh-Tootoonchi, and Naser Pariz. "Fuzzy control design for nonlinear impulsive switched systems using a nonlinear Takagi-Sugeno fuzzy model." Transactions of the Institute of Measurement and Control 42, no. 9 (2020): 1700–1711. http://dx.doi.org/10.1177/0142331219894867.

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This paper deals with the fuzzy control design for nonlinear impulsive switched systems modeled by a novel nonlinear Takagi-Sugeno (T-S) fuzzy structure. To model, this structure only uses some of the nonlinearities as premise variables. So, the derived model has fewer rules compared with the traditional T-S fuzzy models that utilize standard local sector nonlinearity; and accordingly, the number of stability/stabilization conditions is sharply reduced. In our structure, considering only a part of nonlinearities as premise variables causes that some of the local models in the consequent part o
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Zhou, Linna, Qianjin Wang, Xiaoping Ma, and Chunyu Yang. "Fuzzy Controllers for Nonaffine-in-Control Singularly Perturbed Switched Systems." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/896413.

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This paper investigates the problem of fuzzy controller design for nonaffine-in-control singularly perturbed switched systems (NCSPSSs). First, the NCSPSS is approximated by Takagi-Sugeno (T-S) models which include not only state but also control variables in the premise part of the rules. Then, a dynamic state feedback controller design method is proposed in terms of linear matrix inequalities. Under the controller, stability bound estimation problem of the closed-loop system is solved. Finally, an example is given to show the feasibility and effectiveness of the obtained methods.
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Milani, Armin Ebrahimi, and Mahmood Reza Haghifam. "A Heuristic Approach for Multi Objective Distribution Feeder Reconfiguration." International Journal of Applied Evolutionary Computation 1, no. 2 (2010): 60–73. http://dx.doi.org/10.4018/jaec.2010040103.

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The reconfiguration is an operation process used for optimization with specific objectives by means of changing the status of switches in a distribution network. This paper presents an algorithm for network recon-figuration based on the heuristic rules and fuzzy multi objective approach where each objective is normalized with inspiration from fuzzy set to cause optimization more flexible and formulized as a unique multi objective function. Also, the genetic algorithm is used for solving the suggested model, in which there is no risk of non-linear objective functions and constraints. The effect
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Zhang, Jie, Ming Lv, Peng Fei Guo, Liang He, and Yu Ming Bo. "Fault Detection of Robot Control Systems Based on Available Wireless Network Measurements." Applied Mechanics and Materials 300-301 (February 2013): 604–10. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.604.

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Considering some robot control systems which employ wireless networks to transmit sensor signals between the controller and the nonlinear controlled object, the fault detection is carried out. Firstly, based on T-S fuzzy model, the object is linearized. The fuzzy observer is designed and the error equation of the observer is given by using the fuzzy dominant subsystem rule. Secondly, the error equation is equal to the discrete switched system related to the hop count of the wireless transmission, and the stability of the error system is proved. Finally, a simulation example is given to demonst
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9

Mitchell, H. B., and D. D. Estrakh. "A Fuzzy Switched DPCM Predictor for Lossless Compression of Noisy Images." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 05, no. 06 (1997): 689–99. http://dx.doi.org/10.1142/s0218488597000506.

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Differential pulse code modulation (DPCM) algorithms are widely used to compress gray-scale pictures. A critical element in a DPCM algorithm is the accurate prediction of the pixel gray-levels in the input picture. The switched predictors used in modern DPCM algorithms are generally accurate when the input picture is free of noise. However, even small amounts of noise in the input picture will cause a substantial reduction in prediction accuracy and in turn a reduction in compression efficiency. In this paper we describe a novel fuzzy rule-based predictor for use in a lossless DPCM algorithm.
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10

Zeng, Yuping, Zhikai Huang, Yang Cai, Yonggang Liu, Yue Xiao, and Yang Shang. "A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles." Sustainability 10, no. 11 (2018): 4237. http://dx.doi.org/10.3390/su10114237.

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Driving mode switches of hybrid vehicles are significant events. Due to the different dynamic characteristics of the engine, motor, and wet clutch, it is difficult to coordinate torque fluctuations caused by mode switches. This paper focused on a control strategy for driving mode switches of plug-in hybrid electric vehicles (PHEVs) with a multi-disk wet clutch. First, the dynamic model of the PHEV was established, and a rule-based control strategy was proposed to divide the working mode regions and distribute the torque between engine and motor. Second, the dual fuzzy control strategy for a we
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11

Wang, Jinling, Jinling Liang, and Abdullah M. Dobaie. "Dynamic output-feedback control for positive Roesser system under the switched and T-S fuzzy rules." Information Sciences 422 (January 2018): 1–20. http://dx.doi.org/10.1016/j.ins.2017.08.090.

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Cioccolanti, Luca, Simone De Grandis, Roberto Tascioni, Matteo Pirro, and Alessandro Freddi. "Development of a Fuzzy Logic Controller for Small-Scale Solar Organic Rankine Cycle Cogeneration Plants." Applied Sciences 11, no. 12 (2021): 5491. http://dx.doi.org/10.3390/app11125491.

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Solar energy is widely recognized as one of the most attractive renewable energy sources to support the transition toward a decarbonized society. Use of low- and medium-temperature concentrated solar technologies makes decentralized power production of combined heating and power (CHP) an alternative to conventional energy conversion systems. However, because of the changes in solar radiation and the inertia of the different subsystems, the operation control of concentrated solar power (CSP) plants is fundamental to increasing their overall conversion efficiency and improving reliability. There
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13

Lai, Xiao Liang, Cheng Guan, and Xiao Lin. "Fuzzy Logical Control Algorithm Based on Engine on/off State Switch for Hybrid Hydraulic Excavator." Advanced Materials Research 228-229 (April 2011): 447–52. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.447.

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When the hybrid hydraulic excavator worked in a low load and high battery SOC value state, the maintenance of the engine working would cause unnecessary loss during energy conversion, therefore it was required to shut down the engine at this moment. Then a fuzzy logical control algorithm based on the engine on/off state switch was proposed for the hybrid hydraulic excavator. By comprehensively evaluated the current external load level, value of battery SOC and the duration of engine former state, the engine on-off state switch rules and trigger condition were established, also, parallel or pur
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Wang, Jinling, Jinling Liang, and Cheng-Tang Zhang. "Dissipativity analysis and synthesis for positive Roesser systems under the switched mechanism and Takagi-Sugeno fuzzy rules." Information Sciences 546 (February 2021): 234–52. http://dx.doi.org/10.1016/j.ins.2020.08.034.

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15

Et.al, Dr J. Viswanatha Rao. "Reduction of Torque Ripples in PMSM using Fuzzy Controlled based Driving Converter." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4652–58. http://dx.doi.org/10.17762/turcomat.v12i3.1876.

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In this paper we have introduce a four switch PWM (Pulse Width Modulation) inverter for controlling the operation of PMSM (Permanent Magnet Synchronous Motor). The inverter is controlled with 49 rule base fuzzy controller controlling the current component in the feedback loop. The torque of the machine is reduced with the help of second order filter stabilizing the output from the fuzzy controller. The second order torque harmonics are produced by DC capacitor voltage fluctuations are demonstrated first, and a very simple method for compensation is presented by introducing a novel non-orthogon
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16

Varghese, Lijo Jacob, Suma Sira Jacob, S. Banumathi, Logesh Ravi, Subramaniyaswamy Vairavasundaram, and I. Jacob Raglend. "Fuzzy based optimal switching angle-PWM controller for 27-level asymmetric multi-level inverter." Journal of Intelligent & Fuzzy Systems 39, no. 6 (2020): 8507–19. http://dx.doi.org/10.3233/jifs-189168.

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This work aims to improve the operation of multi-level inverter with reduced switching losses, thereby propose a new structure for an MLI with a reduced component count. A 27-level asymmetric Multi Level Inverter (MLI) with a minimal number of static switches is considered as a test system. The proposed MLI is developed with three input DC sources and thirteen power electronic switches. The hardware prototype is developed for 40 V and 3.5 A output. The control logic is developed in dsPIC30F410 controller. The main objective of this work is to effectively bring down the Total Harmonic Distortio
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17

Sunddararaj, Rangarajan, and Gopalan. "Neoteric Fuzzy control stratagem and design of Chopper fed Multilevel Inverter for enhanced Voltage Output involving Plug-In Electric Vehicle (PEV) applications." Electronics 8, no. 10 (2019): 1092. http://dx.doi.org/10.3390/electronics8101092.

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The utilization of plug-in electric vehicles (PEV) has started to garner more attention worldwide considering the environmental and economic benefits. This has led to the invention of new technologies and motifs associated with batteries, bidirectional converters and inverters for Electric Vehicle applications. In this paper, a novel design and control of chopper circuit is proposed and configured with the series and parallel connection of the power electronic based switches for two-way operation of the converter. The bidirectional action of the proposed converter makes it suitable for plug-in
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18

Chen, Po-Tuan, Cheng-Jung Yang, and K. David Huang. "Development of energy control system for parallel hybrid power system using dynamic equations and fuzzy theory." Advances in Mechanical Engineering 12, no. 11 (2020): 168781402096692. http://dx.doi.org/10.1177/1687814020966927.

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A fuzzy control strategy is developed in this study to manage the parallel hybrid power system of internal combustion engine (ICE) and electric motor (EM) for hybrid vehicles. The rules established for the fuzzy logic are based on the conditions of vehicle pedal position, vehicle velocity, and the state of charge to control the throttle position of the ICE and the switch position of EM in low-, mid-, and high-power cruising. The optimization of the control strategy can make vehicles achieving ECE 40 driving pattern. In addition, the ICE can work in an optimal operation range, thus reducing car
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19

Hwang, Jenn-Jiang, Jia-Sheng Hu, and Chih-Hong Lin. "A Novel Range-Extended Strategy for Fuel Cell/Battery Electric Vehicles." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/363094.

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The range-extended electric vehicle is proposed to improve the range anxiety drivers have of electric vehicles. Conventionally, a gasoline/diesel generator increases the range of an electric vehicle. Due to the zero-CO2emission stipulations, utilizing fuel cells as generators raises concerns in society. This paper presents a novel charging strategy for fuel cell/battery electric vehicles. In comparison to the conventional switch control, a fuzzy control approach is employed to enhance the battery’s state of charge (SOC). This approach improves the quick loss problem of the system’s SOC and thu
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20

LEUNG, F. H. F., L. K. WONG, P. K. S. TAM, and H. K. LAM. "REALIZATION OF ANALOG FUZZY LOGIC CONTROL FOR PWM BOOST CONVERTERS." Journal of Circuits, Systems and Computers 08, no. 03 (1998): 411–19. http://dx.doi.org/10.1142/s0218126698000213.

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Fuzzy logic controllers (FLCs) have been widely used in many applications. However, they are usually implemented digitally by expensive digital signal processors (DSPs), and the performance is restricted by the sampling period. These disadvantages have limited the applications of FLCs to industrial systems such as switch mode power converters. In this paper, an analog FLC implemented by low-cost devices is proposed. Through analog circuitry, features such as membership function shaping, rule inference and defuzzification are realized. The controller is successfully applied to regulate a PWM bo
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Ullah, Amjad, Jingpeng Li, and Amir Hussain. "Design and evaluation of a biologically-inspired cloud elasticity framework." Cluster Computing 23, no. 4 (2020): 3095–117. http://dx.doi.org/10.1007/s10586-020-03073-7.

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Abstract The elasticity in cloud is essential to the effective management of computational resources as it enables readjustment at runtime to meet application demands. Over the years, researchers and practitioners have proposed many auto-scaling solutions using versatile techniques ranging from simple if-then-else based rules to sophisticated optimisation, control theory and machine learning based methods. However, despite an extensive range of existing elasticity research, the aim of implementing an efficient scaling technique that satisfies the actual demands is still a challenge to achieve.
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Karuppusamy, P., A. M. Natarajan, and K. N. Vijeyakumar. "An Adaptive Neuro-Fuzzy Model to Multilevel Inverter for Grid Connected Photovoltaic System." Journal of Circuits, Systems and Computers 24, no. 05 (2015): 1550066. http://dx.doi.org/10.1142/s0218126615500668.

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This paper proposed an adaptive neuro-fuzzy model (ANFIS) to multilevel inverter (MLI) for grid connected photovoltaic (PV) system. The purpose of the proposed controller is that it is not requiring any optimal pulse width modulated (PWM) switching-angle generator and proportional–integral controller. The proposed method strictly prohibits the variations present in the output voltage of the cascaded H-bridge MLI. In this method, the ANFIS have the input which is grid voltage, the difference voltage and the output target is control voltage. By using these parameters, the ANFIS makes the rules a
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23

van Jaarsveld, Maarten J., and Rupert Gouws. "An Active Hybrid Energy Storage System Utilising a Fuzzy Logic Rule-Based Control Strategy." World Electric Vehicle Journal 11, no. 2 (2020): 34. http://dx.doi.org/10.3390/wevj11020034.

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The research presented in this paper documents the implementation of an active hybrid energy storage system that combined a battery pack and an ultracapacitor bank. The implemented hybrid energy storage system was used to reduce the peak-power that the battery needs to provide to the load. An active topology utilising two direct current/direct current (DC/DC) converters and a switch was used to implement the hybrid energy storage system. Fuzzy logic was used as a close-loop control structure to control the DC/DC converters in the topology, whilst a rule-based control strategy was used to contr
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Kato, Shigeru, and Kok Wai Wong. "Intelligent Automated Guided Vehicle Controller with Reverse Strategy." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (2011): 304–12. http://dx.doi.org/10.20965/jaciii.2011.p0304.

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This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer. The purpose of the control system is to control the simulated AGV by moving along the given path towards a goal. Some obstacles can be placed on or near the path to increase the difficulties of the control system. The intelligent AGV should follow the path by avoiding these obstacles. This system consists of two fuzzy controllers. One is the original FRI controller that mainly controls the forwa
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Sahaya Sheela, Maria Antony, and Rajendran Prabakaran. "Improvement of battery lifetime in software‐defined network using particle swarm optimization based cluster‐head gateway switch routing protocol with fuzzy rules." Computational Intelligence 36, no. 2 (2020): 813–23. http://dx.doi.org/10.1111/coin.12271.

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26

Gor, Chandani P., Varsha A. Shah, and Bharadwaj Rangachar. "Fuzzy logic based dynamic performance enhancement of five phase induction motor under arbitrary open phase fault for electric vehicle." International Journal of Emerging Electric Power Systems 22, no. 4 (2021): 473–92. http://dx.doi.org/10.1515/ijeeps-2020-0271.

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Abstract The multiphase induction motor can be a highly preferable choice for the EV application, where the reliability and safety of passengers are one of the major concerns. The main objective of this article is to design high performance fault tolerant control of five phase induction motor (FPIM) drive to enhance the dynamic performance under healthy, faulty and fault tolerant modes of operation under arbitrary open phase fault condition. First, a simple method of modeling open phase fault in any phase of the FPIM drive is proposed. The most frequently occurring open phase faults due to the
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27

Gorbatkov, Stanislav, and Svetlana Farkhieva. "Bankruptcy Risk Assessment in Corporate Lending Based on Hybrid Neural Networks and Fuzzy Models." Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 13, no. 1 (2019): 28–39. http://dx.doi.org/10.17323/j.jcfr.2073-0438.13.1.2019.28-39.

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The purpose of this article is the presentation of a novel and unconventional algorithm for bankruptcy risk management in banking technologies catered towards lending to legal entities (enterprises and companies). The challenges of assessing risk in this area primarily relate to the reduction of type I and type II errors when making decisions on the terms of lending (i.e. loan amounts and repayment parameters) on the ostensibly objective basis of a borrower’s creditworthiness assessment.
 
 As such, it is necessary to use a unified procedure to select appropriate economic indicators
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Blomenhofer, V., F. Groß, J. Procelewska, A. Delgado, and T. Becher. "Water quality management in the food and beverage industry by hybrid automation using the example of breweries." Water Supply 13, no. 2 (2013): 427–34. http://dx.doi.org/10.2166/ws.2013.038.

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Water of drinking water quality is one of the most important resources in the food and beverage industry, e.g. for breweries. In this ‘Water Quality Management’ project, a new strategy of partial process water stream treatment is presented. Based on our own investigations, a water saving potential of 10–20% of the entire water consumption is possible with regard to displacement and rinsing water. The separation of different water qualities in real time, via the water switch, is achieved by several measurement techniques and the exploration of the desired information by multivariate data analys
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29

Sharma, Ajit Kumar, and Bharat Bhushan. "Comparison of various fuzzy sliding mode based controller on single link inverted pendulum." Journal of Intelligent & Fuzzy Systems, February 19, 2021, 1–10. http://dx.doi.org/10.3233/jifs-189740.

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The present work represents the implementation of the various fuzzy controller with robust sliding mode control (SMC) technique on a nonlinear system considering various external disturbances and model uncertainties. The nonlinear system considered here is a single link inverted pendulum. The proposed work combines the advantages of the sliding mode controlling technique and fuzzy logic controller. A set of linguistic rules are designed in fuzzy logic control, which causes the system to be chattering free. Parameters of the nonlinear system are adjusted according to fuzzy adaptive laws, while
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30

"Software Defined Networking Based Protection against DDOS in IoT." International Journal of Innovative Technology and Exploring Engineering 9, no. 5 (2020): 739–45. http://dx.doi.org/10.35940/ijitee.e2521.039520.

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Safety has become enormously important with the proliferation of internet of Things(IoT) technologies. Most of the IoT devices are linked with the DDoS attack, there are many risk nowadays for IoT because of DDoS attack.The new software-defined everything(SDx) model offers a way to handle IoT devices securely. The proposed S-IOT framework consists of a pool that includes S-IoT controllers, S-IoT switches and IoT devices. A new ENeFS algorithm is proposed to identify and reduce the DDoS attack. The proposed algorithm uses neuro fuzzy instruct rule to identify the DDoS attack and the number of d
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Dang-Van, Tuyen, and Huong Truong-Thu. "A Multi-Criteria based Software Defined Networking System Architecture for DDoS-Attack Mitigation." REV Journal on Electronics and Communications, February 1, 2017. http://dx.doi.org/10.21553/rev-jec.123.

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Nowadays, Software-Defined Networking (SDN) has become a promising network architecture in which network devices are controlled in a separate Control Plane (i.e., SDN controller). In a specific aspect, employing SDN in a network offers an attractive network security solution due to its flexibility in building and adding more new software security rules. From another perspective, attack prediction and mitigation, especially for Distributed Denial of Service (DDoS) attacks, are still challenges in SDN environments since a SDN control system works probably slower than a non-SDN one and theSDN con
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Fraim, John. "Friendly Persuasion." M/C Journal 3, no. 1 (2000). http://dx.doi.org/10.5204/mcj.1825.

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"If people don't trust their information, it's not much better than a Marxist-Leninist society." -- Orville Schell Dean, Graduate School of Journalism, UC Berkeley "Most people aren't very discerning. Maybe they need good financial information, but I don't think people know what good information is when you get into culture, society, and politics." -- Steven Brill,Chairman and Editor-in-chief, Brill's Content Once upon a time, not very long ago, advertisements were easy to recognise. They had simple personalities with goals not much more complicated than selling you a bar of soap or a box of c
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