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Journal articles on the topic 'Compressed fuzzy logic'
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Rachna, Srivastava, and Pal Yogesh. "Image Compression Using Fractal Dimension Based on Quadtree Fuzzy Logic Method." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 88–95. https://doi.org/10.31142/ijtsrd15755.
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We have made image photo compression the use of efficient fuzzy good judgment on this research. We have used quadtree set of rules for this motive. We choose fuzzy common sense primarily based method as fuzzy good judgment is taken into consideration strong tool to deal with vagueness. When photos are indistinct in phrases of pixel values fuzzy common sense is taken into consideration appropriate common sense for its analysis. In proposed technique one domain block is taken into consideration for every range block and searched best for matched comparison scaling. So effects fractal code does now not contain coordinates of matched area block. Quadtree set of rules can be here applied in such case and length of range block may be minimized as small as 2x2 pixels. Proposed research offers with integration of quad tree algorithm with traditional DCT primarily based fractal photo compression as a way to produce higher compression ratio PSNR with less compression error. Our fundamental goal is to review the photograph of excessive compression and backbone and which will compress it we use a novice algorithm and implements it in photograph so that the pixels of the photo got compressed. In order to reap this objective we use Fuzzy Logic. Rachna Srivastava | Yogesh Pal "Image Compression Using Fractal Dimension Based on Quadtree Fuzzy Logic Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd15755.pdf
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Fahad, Taqwa Oday, and Abduladhem A. Ali. "Compressed fuzzy logic based multi-criteria AODV routing in VANET environment." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 397. http://dx.doi.org/10.11591/ijece.v9i1.pp397-401.
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Vehicular ad hoc networks (VANETs) are the core of intelligent transportation systems (ITS) to obtain safety, better transportation services, and improved traffic management. Providing more reliable and efficient on demand routing protocol is one of the main challenges in these networks research scope. This paper argues a compressed fuzzy logic based method to enhance Ad hoc on demand distance vector (AODV) routing decision by jointly considering number of relays, distance factor, direction angle, and vehicles speed variance. The proposed scheme is simulated in both freeway and urban scenarios with different number of vehicles using real time interaction between both OMNet++ and SUMO simulators. Simulation results show that the proposed approach can get better performance in terms of packet delivery ratio, throughput, mean delay, and number of sent control packets.
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Fahad, Taqwa Oday, and Abduladhem A. Ali. "Compressed fuzzy logic based multi-criteria AODV routing in VANET environment." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 397–401. https://doi.org/10.11591/ijece.v9i1.pp397-401.
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Vehicular ad hoc networks (VANETs) are the core of intelligent transportation systems (ITS) to obtain safety, better transportation services, and improved traffic management. Providing more reliable and efficient on demand routing protocol is one of the main challenges in these networks research scope. This paper argues a compressed fuzzy logic based method to enhance Ad hoc on demand distance vector (AODV) routing decision by jointly considering number of relays, distance factor, direction angle, and vehicles speed variance. The proposed scheme is simulated in both freeway and urban scenarios with different number of vehicles using real time interaction between both OMNet++ and SUMO simulators. Simulation results show that the proposed approach can get better performance in terms of packet delivery ratio, throughput, mean delay, and number of sent control packets
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Kumar Sambariya, Dhanesh. "Power System Stabilizer Design Using Compressed Rule Base of Fuzzy Logic Controller." Journal of Electrical and Electronic Engineering 3, no. 3 (2015): 52. http://dx.doi.org/10.11648/j.jeee.20150303.16.
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Heng, Sovannarith, Phet Aimtongkham, Van Nhan Vo, Tri Gia Nguyen, and Chakchai So-In. "Fuzzy Adaptive-Sampling Block Compressed Sensing for Wireless Multimedia Sensor Networks." Sensors 20, no. 21 (2020): 6217. http://dx.doi.org/10.3390/s20216217.
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The transmission of high-volume multimedia content (e.g., images) is challenging for a resource-constrained wireless multimedia sensor network (WMSN) due to energy consumption requirements. Redundant image information can be compressed using traditional compression techniques at the cost of considerable energy consumption. Fortunately, compressed sensing (CS) has been introduced as a low-complexity coding scheme for WMSNs. However, the storage and processing of CS-generated images and measurement matrices require substantial memory. Block compressed sensing (BCS) can mitigate this problem. Nevertheless, allocating a fixed sampling to all blocks is impractical since each block holds different information. Although solutions such as adaptive block compressed sensing (ABCS) exist, they lack robustness across various types of images. As a solution, we propose a holistic WMSN architecture for image transmission that performs well on diverse images by leveraging saliency and standard deviation features. A fuzzy logic system (FLS) is then used to determine the appropriate features when allocating the sampling, and each corresponding block is resized using CS. The combined FLS and BCS algorithms are implemented with smoothed projected Landweber (SPL) reconstruction to determine the convergence speed. The experiments confirm the promising performance of the proposed algorithm compared with that of conventional and state-of-the-art algorithms.
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Kang, Sung Jae, Jei Cheong Ryu, Gyoo Suk Kim, and Mu Seong Mun. "Hip Joint Control of PGO for Paraplegics." Key Engineering Materials 326-328 (December 2006): 735–38. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.735.
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In this study, we developed a fuzzy-logic-controlled PGO (Power Gait Othosis) that controls the flexion and extension of each PGO joint using bio-signals and an FSR sensor. The PGO driving system works to couple the right and left sides of the orthosis by specially-designed hip joints and pelvic section. This driving system consists of the orthosis, sensor, and control system. An air supply system for muscle action is composed of an air compressor, 2-way solenoid valve (MAC, USA), accumulator and pressure sensor. The role of this system is to provide constant “air muscle” with compressed air at the hip joint. With the output signal of the EMG and foot sensors, air muscles assist the flexion of the hip joint during the PGO gait.
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Kandemir, Ekrem, Selim Borekci, and Numan S. Cetin. "Comparative Analysis of Reduced-Rule Compressed Fuzzy Logic Control and Incremental Conductance MPPT Methods." Journal of Electronic Materials 47, no. 8 (2018): 4463–74. http://dx.doi.org/10.1007/s11664-018-6273-y.
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Di Martino, Ferdinando, and Salvatore Sessa. "A Multilevel Fuzzy Transform Method for High Resolution Image Compression." Axioms 11, no. 10 (2022): 551. http://dx.doi.org/10.3390/axioms11100551.
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The Multilevel Fuzzy Transform technique (MF-tr) is a hierarchical image compression method based on Fuzzy Transform, which is successfully used to compress images and manage the information loss of the reconstructed image. Unlike other lossy image compression methods, it ensures that the quality of the reconstructed image is not lower than a prefixed threshold. However, this method is not suitable for compressing massive images due to the high processing times and memory usage. In this paper, we propose a variation of MF-tr for the compression of massive images. The image is divided into tiles, each of which is individually compressed using MF-tr; thereafter, the image is reconstructed by merging the decompressed tiles. Comparative tests performed on remote sensing images show that the proposed method provides better performance than MF-tr in terms of compression rate and CPU time. Moreover, comparison tests show that our method reconstructs the image with CPU times that are at least two times less than those obtained using the MF-tr algorithm.
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Widjonarko, Rudy Soenoko, Slamet Wahyudi, and Eko Siswanto. "Comparison of Intelligence Control Systems for Voltage Controlling on Small Scale Compressed Air Energy Storage." Energies 12, no. 5 (2019): 803. http://dx.doi.org/10.3390/en12050803.
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This study presents the strategy of controlling the air discharge in the prototype of small scale compressed air energy storage (SS-CAES) to produce a constant voltage according to the user set point. The purpose of this study is to simplify the control of the SS-CAES, so that it can be integrated with a grid based on a constant voltage reference. The control strategy in this study is carried out by controlling the opening of the air valve combined with a servo motor using three intelligence control systems (fuzzy logic, artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS)). The testing scenario of this system will be carried out using two scenes, including changing the voltage set point and by switching the load. The results that were obtained indicate that ANN has the best results, with an average settling time of 2.05S in the first test scenario and 6.65S in the second test scenario.
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Alberts, Timothy A., Phillip B. Chilson, B. L. Cheong, and R. D. Palmer. "Evaluation of Weather Radar with Pulse Compression: Performance of a Fuzzy Logic Tornado Detection Algorithm." Journal of Atmospheric and Oceanic Technology 28, no. 3 (2011): 390–400. http://dx.doi.org/10.1175/2010jtecha1409.1.
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Abstract Trends in current weather research involve active phased-array radar systems that have several advantages over conventional radars with klystron or magnetron transmitters. However, phased-array radars generally do not have the same peak transmit power capability as conventional systems so they must transmit longer pulses to maintain an equivalent average power on target. Increasing transmits pulse duration increases range gate size but the use of pulse compression offers a means of recovering the otherwise lost resolution. To evaluate pulse compression for use in future weather radar systems, modifications to a weather radar simulator have been made to incorporate phase-coding into its functionality. Data derived from Barker-coded pulses with matched and mismatched filters were compared with data obtained from uncoded pulses to evaluate the pulse compression performance. Additionally, pulse compression was simulated using data collected from an experimental radar to validate the simulated results. The data derived from both experimental and simulated methods were then applied to a fuzzy logic tornado detection algorithm to examine the effects of the pulse compression process. It was found that the fuzzy logic process was sufficiently robust to maintain high levels of detection accuracy with low false alarm rates even though biases were observed in the pulse-compressed data.
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Das, Soumya Ranjan, Debani Prasad Mishra, Prakash Kumar Ray, Surender Reddy Salkuti, and Arun Kumar Sahoo. "Power quality improvement using fuzzy logic-based compensation in a hybrid power system." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 1 (2021): 576. http://dx.doi.org/10.11591/ijpeds.v12.i1.pp576-584.
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This paper is based on the improvement of power quality (PQ) using fuel cell and fuzzy based controller. By using the proposed controller, the quality of power in the grid system especially in micro grid connected with non- linear and unbalanced load is enhanced. The configuration of the system is combined with hybrid arrangement of photovoltaic ([PV) with wind energy conversion system (WECS), fuel cell (FC) including the compressed air energy storage system (CAES) where the power management is controlled by using the distributed power sharing technique. In this proposed system the distortions in voltage at point of common coupling (PCC) is decreased by using the FC which acts as compensator in hybrid system. Reference current is developed which depends on real and reactive power of the source connected to the compensator. Based on demand of power for nonlinear load, without using any external communication interfaces, the proposed control theory can change the modes of operation and can compensate the unbalance in the system which is caused due to single-phase micro sources and load changes. The complete productive design of the micro-sources and power electronic converters are presented in the paper. The operation and performance of the proposed controller used in microgrid is validated through simulation in MATLAB/Simulink environment.
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Soumya, Ranjan Das, Prasad Mishra Debani, Kumar Ray Prakash, Reddy Salkuti Surender, and Kumar Sahoo Arun. "Power quality improvement using fuzzy logic-based compensation in a hybrid power system." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 1 (2021): 576–84. https://doi.org/10.11591/ijpeds.v12.i1.pp576-584.
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This paper is based on the improvement of power quality (PQ) using fuel cell and fuzzy based controller. By using the proposed controller, the quality of power in the grid system especially in micro grid connected with non- linear and unbalanced load is enhanced. The configuration of the system is combined with hybrid arrangement of photovoltaic ([PV) with wind energy conversion system (WECS), fuel cell (FC) including the compressed air energy storage system (CAES) where the power management is controlled by using the distributed power sharing technique. In this proposed system the distortions in voltage at point of common coupling (PCC) is decreased by using the FC which acts as compensator in hybrid system. Reference current is developed which depends on real and reactive power of the source connected to the compensator. Based on demand of power for nonlinear load, without using any external communication interfaces, the proposed control theory can change the modes of operation and can compensate the unbalance in the system which is caused due to single-phase micro sources and load changes. The complete productive design of the micro-sources and power electronic converters are presented in the paper. The operation and performance of the proposed controller used in microgrid is validated through simulation in MATLAB/Simulink environment.
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Ranganathan, Raghuram, Robert Qiu, Zhen Hu, et al. "Cognitive Radio for Smart Grid: Theory, Algorithms, and Security." International Journal of Digital Multimedia Broadcasting 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/502087.
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Recently, cognitive radio and smart grid are two areas which have received considerable research impetus. Cognitive radios are intelligent software defined radios (SDRs) that efficiently utilize the unused regions of the spectrum, to achieve higher data rates. The smart grid is an automated electric power system that monitors and controls grid activities. In this paper, the novel concept of incorporating a cognitive radio network as the communications infrastructure for the smart grid is presented. A brief overview of the cognitive radio, IEEE 802.22 standard and smart grid, is provided. Experimental results obtained by using dimensionality reduction techniques such as principal component analysis (PCA), kernel PCA, and landmark maximum variance unfolding (LMVU) on Wi-Fi signal measurements are presented in a spectrum sensing context. Furthermore, compressed sensing algorithms such as Bayesian compressed sensing and the compressed sensing Kalman filter is employed for recovering the sparse smart meter transmissions. From the power system point of view, a supervised learning method called support vector machine (SVM) is used for the automated classification of power system disturbances. The impending problem of securing the smart grid is also addressed, in addition to the possibility of applying FPGA-based fuzzy logic intrusion detection for the smart grid.
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Widjonarko, Rudy Soenoko, Slamet Wahyudi, and Eko Siswanto. "Design of Air Motor Speed Control System for Small Scale Compressed Air Energy Storage Using Fuzzy Logic." IOP Conference Series: Materials Science and Engineering 494 (March 29, 2019): 012025. http://dx.doi.org/10.1088/1757-899x/494/1/012025.
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Moradi, Masoud, Masoud Moradkhani, and Mohammad Bagher Tavakoli. "A Real-Time Biometric Encryption Scheme Based on Fuzzy Logic for IoT." Journal of Sensors 2022 (February 26, 2022): 1–15. http://dx.doi.org/10.1155/2022/4336822.
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When milliards of smart devices are connected to the Internet using the Internet of Things (IoT), robust security methods are required to deliver current information to the objects. Using IoT, the user can be accessed via smart device applications at any time and any place, which challenges IoT security and privacy. From security point of view, users and smart devices should have secure communication channel and digital ID. Authentication is the first step towards any security action. Biometric-based authentication can ensure higher security for developing secure access. In this paper, fingerprint is used as the biometric factor. After scanning the fingerprint using the cellphone’s camera, the image is transmitted to the authentication system. Since the comparison time increases after increasing the database volume, instead of storing the scanned fingerprint image, some key features of the scanned fingerprint are extracted and transmitted to the learning system of the convolutional neural network for detection and authentication and stored in the database. In the user authentication phase, the authentication keys are identified and the passcodes for the user of interest are extracted, and zero code is sent to the forged people; finally, the passcode is examined to check if the user is legal or illegal. In this step, the legal codes for fuzzy encoding of the image and text information are activated, and encryption is carried out in multiple steps depending on the number of members. The final code is compressed using Huffman coding and used for transmission to the network or storage. The proposed method is tested in MATLAB, and the results show that an excellent security is achieved using this cascade encryption method. Conclusively, the proposed hybrid coding technique reduces the information volume by 15.9%.
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Živčák, Jozef, Michal Kelemen, Ivan Virgala, et al. "An Adaptive Neuro-Fuzzy Control of Pneumatic Mechanical Ventilator." Actuators 10, no. 3 (2021): 51. http://dx.doi.org/10.3390/act10030051.
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COVID-19 was first identified in December 2019 in Wuhan, China. It mainly affects the respiratory system and can lead to the death of the patient. The motivation for this study was the current pandemic situation and general deficiency of emergency mechanical ventilators. The paper presents the development of a mechanical ventilator and its control algorithm. The main feature of the developed mechanical ventilator is AmbuBag compressed by a pneumatic actuator. The control algorithm is based on an adaptive neuro-fuzzy inference system (ANFIS), which integrates both neural networks and fuzzy logic principles. Mechanical design and hardware design are presented in the paper. Subsequently, there is a description of the process of data collecting and training of the fuzzy controller. The paper also presents a simulation model for verification of the designed control approach. The experimental results provide the verification of the designed control system. The novelty of the paper is, on the one hand, an implementation of the ANFIS controller for AmbuBag pressure control, with a description of training process. On other hand, the paper presents a novel design of a mechanical ventilator, with a detailed description of the hardware and control system. The last contribution of the paper lies in the mathematical and experimental description of AmbuBag for ventilation purposes.
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Li, Feng, Yongli Gao, António José Estêvão Grande Candeias, and Yao Wu. "Virtual Restoration System for 3D Digital Cultural Relics Based on a Fuzzy Logic Algorithm." Systems 11, no. 7 (2023): 374. http://dx.doi.org/10.3390/systems11070374.
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This research proposes a virtual restoration system and method for 3D digital cultural relics based on a fuzzy logic algorithm, aiming to solve the problems of the low classification accuracy and poor splicing effect of Terra Cotta Warrior fragments. This method adopts a series of steps to improve the efficiency and accuracy of fragment splicing. Firstly, features such as curvature, torsion, and left and right chord lengths were extracted from the fracture surface contour lines of the cultural relic fragments to form feature vectors. Then, the feature vector was fused and compressed by using the multilayer perceptron. The multilayer perceptron is a neural network model that can process and learn input data via multiple levels of computation, resulting in more expressive feature representations. Next, we used the calculation results of the multilayer perceptron to perform the splicing operation on the fragments. This means that, based on the calculation results of the feature vectors, the system can automatically select appropriate splicing methods to accurately match and splice fragments. Finally, by adjusting the weight of the multilayer perceptron, the error rate of fragment splicing can be reduced, further improving the accuracy of repair. The experimental results show that the method proposed in this article is significantly better than traditional methods in terms of time consumption and can effectively improve the efficiency of fragment matching and stitching. Conclusion: The fragment-stitching algorithm based on multi-feature adaptive fusion improved the speed and effectiveness of stitching in fragment-stitching tasks. In summary, the fragment-stitching algorithm based on multi-feature adaptive fusion can improve the speed and effectiveness of stitching in fragment-stitching tasks. The application of this method is expected to play an important role in the field of cultural relic protection, such as the restoration of Terra Cotta Warrior fragments.
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Božanić, Darko, Dragan Pamučar, Aleksandar Milić, Dragan Marinković, and Nenad Komazec. "Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making." Axioms 11, no. 3 (2022): 89. http://dx.doi.org/10.3390/axioms11030089.
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The Logarithm Methodology of Additive Weights (LMAW) method is a very young method and in its basic form is defined for crisp values. In this paper, the LMAW method was improved by being modified with triangular fuzzy numbers. The modification significantly improved the capacity of the LMAW method to consider uncertainty in decision making. The special importance of the method is reflected in a relatively simple mathematical apparatus due to which it is possible to define, with high quality, weight coefficients of criteria and rank alternative solutions in uncertain environments. The method was tested in solving the problem of the location selection for a landing operations point (LOP) in combat operations of the army. The validation of the obtained results was performed: (1) by means of comparison with the Fuzzy Simple Additive Weighting (FSAW) Method, the Fuzzy Multi-Attributive Border Approximation area Comparison (FMABAC), the fuzzy Višekriterijumsko KOmpromisno Rangiranje (FVIKOR), the fuzzy COmpressed PRoportional ASsessment (FCOPRAS), and the fuzzy Multi Attributive Ideal-Real Comparative Analysis (FMAIRCA); (2) by means of sensitivity analysis by changing the weight coefficients of criteria; and (3) using simulation software. In comparison with other methods, the quality of the ranking of alternative solutions was confirmed, which highlighted the special importance of the fuzzy LMAW method relative to that of certain standard methods, respectively, the ones that are often used and confirmed in practice. On the other hand, the sensitivity analysis, including the changing of the weight coefficients of criteria, showed that the model could tolerate smaller errors in defining the weight coefficients of criteria, and it provided stable results. Finally, the validation of results achieved with the use of simulation software confirmed the obtained output results. The output results confirmed the quality of the modified method.
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Moiron, Sandro, Rouzbeh Razavi, Martin Fleury, and Mohammed Ghanbari. "Intelligent Bandwidth Allocation of IPTV Streams with Bitstream Complexity Measures." International Journal of Handheld Computing Research 4, no. 3 (2013): 41–62. http://dx.doi.org/10.4018/jhcr.2013070103.
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IPTV video services are increasingly being considered for delivery to mobile devices over broadband wireless access networks. The IPTV streams or channels are multiplexed together for transport across an IP core network prior to distribution across the access network. According to the type of access network, prior bandwidth constraints exist that restrict the multiplex data-rate. This paper presents a bandwidth allocation scheme based on content complexity to equalize the overall video quality of the IPTV sub-streams, in effect a form of statistical multiplexing. Bandwidth adaptation is achieved through a bank of bit-rate transcoders. Complexity metrics serve to estimate the appropriate bandwidth share for each stream, prior to distribution over a wireless or ADSL access network. These metrics are derived after entropy decoding of the input compressed bit-streams, without the delay resulting from a full decode. Fuzzy-logic control serves to adjust the balance between spatial and temporal coding complexity. The paper examines constant and varying bandwidth scenarios. Experimental results show a significant overall gain in video quality in comparison to a fixed bandwidth allocation.
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Rajesh, R., and M. Carolin Mabel. "Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system." Energy 116 (December 2016): 140–53. http://dx.doi.org/10.1016/j.energy.2016.09.068.
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Al Dallal, Haroon Rashid Hammood. "Clustering protocols for energy efficiency analysis in WSNS and the IOT." Problems of Information Society 15, no. 1 (2024): 18–24. http://dx.doi.org/10.25045/jpis.v15.i1.03.
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Throughout the development of energy efficient routing protocol for wireless sensor network clustering technique has been widely adopted approach. The Selection of cluster heads is also very important for the energy efficiency of the network. In the past, researchers have proposed multiple routing protocols; however, problems are still alive and need to be resolved because of the diversity of WSN applications. This article presents an energy-efficient routing protocol using the advanced approaches of Artificial Intelligence, the most promising field of computer science currently providing the best solutions. The proposed model uses the Deep Q-network to select the cluster head. Moreover, collected data at the cluster head is generalized as low, moderate, and high values using the fuzzy logic technique. After that, the Predictive coding theory algorithm is used for the data compression, and the lossy compression technique is applied to the data. Its compressed form also gives complete information of the data in small size and is delivered to the base station. Again, the transmitted data is reconstructed into its actual format. In the end, to justify the performance of the newly designed routing protocol, simulations are performed using the Matlab tool, and its results are evaluated in quality of service matrices and compared with well-known routing protocols.
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López-Iglesias, Clara, Enriqueta R. López, Josefa Fernández, Mariana Landin, and Carlos A. García-González. "Modeling of the Production of Lipid Microparticles Using PGSS® Technique." Molecules 25, no. 21 (2020): 4927. http://dx.doi.org/10.3390/molecules25214927.
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Solid lipid microparticles (SLMPs) are attractive carriers as delivery systems as they are stable, easy to manufacture and can provide controlled release of bioactive agents and increase their efficacy and/or safety. Particles from Gas-Saturated Solutions (PGSS®) technique is a solvent-free technology to produce SLMPs, which involves the use of supercritical CO2 (scCO2) at mild pressures and temperatures for the melting of lipids and atomization into particles. The determination of the key processing variables is crucial in PGSS® technique to obtain reliable and reproducible microparticles, therefore the modelling of SLMPs production process and variables control are of great interest to obtain quality therapeutic systems. In this work, the melting point depression of a commercial lipid (glyceryl monostearate, GMS) under compressed CO2 was studied using view cell experiments. Based on an unconstrained D-optimal design for three variables (nozzle diameter, temperature and pressure), SLMPs were produced using the PGSS® technique. The yield of production was registered and the particles characterized in terms of particle size distribution. Variable modeling was carried out using artificial neural networks and fuzzy logic integrated into neurofuzzy software. Modeling results highlight the main effect of temperature to tune the mean diameter SLMPs, whereas the pressure-nozzle diameter interaction is the main responsible in the SLMPs size distribution and in the PGSS® production yield.
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Naseri, Nisrine, Soumia El Hani, Mohamed Machmoum, Elhoussin Elbouchikhi, and Amina Daghouri. "Energy Management Strategy for a Net Zero Emission Islanded Photovoltaic Microgrid-Based Green Hydrogen System." Energies 17, no. 9 (2024): 2111. http://dx.doi.org/10.3390/en17092111.
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Investing in green hydrogen systems has become a global objective to achieve the net-zero emission goal. Therefore, it is seen as the primary force behind efforts to restructure the world’s energy, lessen our reliance on gas, attain carbon neutrality, and combat climate change. This paper proposes a power management for a net zero emission PV microgrid-based decentralized green hydrogen system. The hybrid microgrid combines a fuel cell, battery, PV, electrolyzer, and compressed hydrogen storage (CHSU) unit aimed at power sharing between the total components of the islanded DC microgrid and minimizing the equivalent hydrogen consumption (EHC) by the fuel cell and the battery. In order to minimize the EHC and maintain the battery SOC, an optimization-based approach known as the Equivalent Consumption Minimization Strategy (ECMS) is used. A rule-based management is used to manage the power consumed by the electrolyzer and the CHSU by the PV system in case of excess power. The battery is controlled by an inverse droop control to regulate the dc bus voltage and the output power of the PV system is maximized by the fuzzy logic controller-based MPPT. As the hybrid microgrid works in the islanded mode, a two-level hierarchical control is applied in order to generate the voltage and the frequency references. The suggested energy management approach establishes the operating point for each system component in order to enhance the system’s efficiency. It allows the hybrid system to use less hydrogen while managing energy more efficiently.
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Evstifeev, Andrew A. "Information decision-making support for periodic maintenance of gas balloon equipment." Journal Of Applied Informatics 17, no. 1 (97) (2022): 19–26. http://dx.doi.org/10.37791/2687-0649-2022-17-1-19-26.
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The issues of information support for decision-making during periodic maintenance of gas-cylinder equipment of vehicles running on natural gas, ensuring safe operation, contributing to an increase in the efficiency of transportation of goods and goods: reducing vehicle downtime due to failure of the fuel system using gas fuel by 10–18%; reducing the likelihood of functioning of gas equipment in hazardous modes by 12–17%. The technical requirements for gas equipment and procedures for its periodic maintenance are formulated. The concept of the formation and application of a unified state register of gas equipment, which is a tool for limiting admission to the turnover of products that does not meet regulatory and market requirements, is proposed. An information-logical model of decision-making support has been developed, which allows, depending on the current technical condition of assemblies and parts, based on the specified requirements for the duration of the period between maintenance, to propose the best option for carrying out diagnostic, repair and commissioning measures for gas-cylinder equipment of vehicles. The procedure for the formation of an extended list of measures for periodic maintenance of gas equipment is presented on the example of individual nodes of the fuel system of a vehicle running on compressed natural gas. The software implementation of the information- logical model is carried out in the form of a plug-in extension to the database core of the decision support information system for the operation of gas equipment, implemented on the Oracle database management system with integrated support for the high-level object- oriented language Java. For the convenience of working with the information-logical model, a computational and analytical module of the information system for decision-making support during the operation of gas-cylinder equipment with elements of fuzzy logic has been developed. The model was tested on the example of the implementation of measures during the periodic maintenance of the gas equipment of the KamAZ 65116 truck.
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Meng, Xiang Zhong, Hui Long Liu, Wei Song, Wen Chao Wang, and Zi Sheng Hou. "Application of Fuzzy-PID Control in the Air Supply System with Constant Pressure for Mine Compressor." Applied Mechanics and Materials 433-435 (October 2013): 183–87. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.183.
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In order to solve the air supply pressure instability problem in mine compressor, a fuzzy-PID controller is designed to be combined with conventional proportional-integral-derivative (PID) control and fuzzy control technology based on the programmable logic controller (PLC), where the compressor air supply system can achieve optimal control based on the system requirements and the actual usage, realizing air supply with constant pressure for compressor.
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Lampreia, Suzana, Inês Mestre, Teresa Morgado, and Helena Navas. "Dynamic Maintenance based on Fuzzy Logic." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 21 (December 23, 2024): 2578–90. https://doi.org/10.37394/23207.2024.21.211.
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Currently, certain maritime assets face the challenge of optimizing their performance despite limited resources. They aim to minimize intervention actions on equipment while maintaining safety standards and acceptable performance levels. Ships, which are not yet autonomous, serve as maritime assets responsible for transporting personnel and systems. Keeping these ships operating at a high level of performance is crucial to ensuring the safety of both materials and personnel. This not only prevents damage to the ships but also reduces the risk of injuries to personnel and sea pollution. Organizations, the scientific community, and stakeholders have been actively developing advanced systems to monitor data from ship equipment within the scope of maintenance management. These efforts help prevent breakdowns and provide real-time information about the equipment’s condition. These systems use various techniques for condition monitoring, including algorithms, statistical equations, and other methodologies applied to the collected data. In this study, Fuzzy Logic will be applied to data from selected equipment. Specifically, an air compressor from an ocean patrol vessel has been chosen for the case study. This air compressor is essential for Navy ships and has been selected by the Organization’s Maintenance Management Centre to monitor working hours and operational status.
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Ganguli, R. "Application of Fuzzy Logic for Fault Isolation of Jet Engines." Journal of Engineering for Gas Turbines and Power 125, no. 3 (2003): 617–23. http://dx.doi.org/10.1115/1.1470481.
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A fuzzy logic system is developed for gas turbine module fault isolation. Inputs to the fuzzy logic system are measurement deviations of gas path parameters from a “good” baseline engine. The gas path measurements used are exhaust gas temperature, low and high rotor speed, and fuel flow. These sensor measurements are available on most jet engines. The fuzzy logic system uses rules developed from performance influence coefficients to isolate the module fault while accounting for uncertainty in the gas path measurements. Tests with simulated data show the fuzzy system isolates module faults with accuracy of over 95%. In addition, the fuzzy logic system shows good performance even with poor quality data. Additional pressure and temperature measurements between the compressor and before the burner help to increase the accuracy of fault isolation at high levels of uncertainty and when modeling assumptions weaken.
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Qiu, Xiaohong, and Jiali Chen. "Algorithm of axial compressor stall warning based on BP neural network and fuzzy logic." MATEC Web of Conferences 355 (2022): 03007. http://dx.doi.org/10.1051/matecconf/202235503007.
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Stall warning of axial compressor is very challenging and the existing warning margin is not enough. A algorithm based on BP neural network fusion fuzzy logic is proposed. Firstly, BP neural network is used for training recognition, next the identification results are fused with fuzzy logic reasoning to form the result judgment of time sequence, finally the stall early warning of axial compressor is realized. The simulation results of the experimental data show that the stall data at all speeds are at least 0.1s in advance of the early warning. Compared with other methods, this method has a better surge early warning margin performance and engineering practicability.
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You, Yu Wen, Zhi Gang Zhang, Chun Mei Guo, and Li Lu Zhang. "Optimizing Approach to Varying Load of the Refrigeration System Based on Fuzzy Logic Control." Advanced Materials Research 433-440 (January 2012): 6896–901. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6896.
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This paper proposed an approach for a control, which fuzzy logic method was designed and used in the refrigeration system based on the summary of the common control methods on electronic expansion valve (EEV) and variable speed compressor(VSC). The experiment had been carried out, that showed the fuzzy logic controller achieve more stable superheat and water temperature values against to a disturbance and had good energy saving potential.
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Plodprong, Chutima, Worarat Patprakorn, and Pornrapeepat Bhasaputra. "A Fuzzy Logic Based on Theoptimal Energy Conservation with Human Satisfaction of the Inverter Air Conditioning System for Tropical Area." Advanced Materials Research 622-623 (December 2012): 122–29. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.122.
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This research is study of the air conditioning by used fuzzy logic control to analysis. It will take into account the energy savings and the room temperature remained in range of comfort zone for the resident's satisfaction. To control % AC compressor and fan speed. The system was simulated and designed simulation model of fuzzy logic controlled on Matlab program to monitor energy consumption and temperature of the room. The results indicate that thermal comfort of the room together with energy saving can be obtained through fuzzy logic controlled .At a temperature setting of 25 °C and defined heat load in the room, the energy saving for the system is calculated to 30.77 % for fuzzy controllers when compared with on-off condition.
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Isler, Yalcin, Savas Sahin, Orhan Ekren, and Cuneyt Guzelis. "Design of microcontroller-based decentralized controller board to drive chiller systems using PID and fuzzy logic algorithms." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 234, no. 1 (2019): 98–107. http://dx.doi.org/10.1177/0954408919885678.
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This study deals with designing a decentralized multi-input multi-output controller board based on a low-cost microcontroller, which drives both parts of variable-speed scroll compressor and electronic-type expansion valve simultaneously in a chiller system. This study aims to show the applicability of commercial low-cost microcontroller to increase the efficiency of the chiller system, having variable-speed scroll compressor and electronic-type expansion valve with a new electronic card. Moreover, the refrigerant system proposed in this study provides the compactness, mobility, and flexibility, and also a decrease in the controller unit’s budget. The study was tested on a chiller system that consists of an air-cooled condenser, a variable-speed scroll compressor, and a stepper driven electronic-type expansion valve. The R134a was used as a refrigerant fluid and its flow was controlled by electronic-type expansion valve in this setup. Both variable-speed scroll compressor and electronic-type expansion valve were driven by the proposed hardware using either proportional integral derivative or fuzzy logic controller, which defines four distinct controller modes. The experimental results show that fuzzy logic controlled electronic-type expansion valve and proportional integral derivative controlled variable-speed scroll compressor mode give more robustness by considering the response time.
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Bazazzadeh, Mehrdad, and Ali Shahriari. "Enhancing the Performance of Jet Engine Fuel Controller Using Neural Networks." Applied Mechanics and Materials 390 (August 2013): 393–97. http://dx.doi.org/10.4028/www.scientific.net/amm.390.393.
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This paper proposes a fuzzy logic controller for a specific turbojet engine. The turbine engines require control systems to achieve the appropriate performance. The control systems typically featured loops to prevent engine flame out, over speeds, compressor surge, and check turbine inlet temperature limit, either by scheduling the fuel flow during accelerations and decelerations or by controlling the acceleration and deceleration rates of engine spool. This paper presents a successful approach in designing a Fuzzy Logic Controller for a specific Jet Engine. At first a suitable mathematical model for the jet engine is presented by the aid of SIMULINK simulation software. Then by applying different reasonable fuel flow functions via the engine model, some important engine continuous time operation parameters (such as: thrust, compressor surge margin, turbine inlet temperature and engine spool speed...) are obtained. These parameters provide a precious database which can be used by a neural network. At the second step, by designing and training a feedforward multilayer perceptron neural network according to this available database; a number of different reasonable fuel flow functions for various engine acceleration operations are determined. These functions are used to define the desired fuzzy fuel functions. Indeed, the neural networks are used as an effective method to define the optimum fuzzy fuel functions. At the next step we design a fuzzy logic controller by using the engine simulation model and the neural network results. The proposed control scheme is proved by computer simulation using the designed engine model. The simulation results of engine model with fuzzy controller in comparison with the engine testing operation illustrate that the proposed controller achieves the desired performance.
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Francis, Maxwell, Raji Luqman, Dadiyo Charles, and Anjili Audu. "Energy Savings for Air Conditioning System Using Fuzzy Logic Controller Design for Northeastern Nigeria." Current Journal: International Journal Applied Technology Research 3, no. 2 (2022): 91–105. http://dx.doi.org/10.35313/ijatr.v3i2.95.
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Efficient air cooling in an air conditioning system minimizes power consumption. The air conditioning system is considered one of the home appliances in which a massive amount of electrical energy is recorded, especially in the urban area. In this work, the fuzzy logic controller is designed to save energy for northeastern Nigeria using six and two input and output parameters respectively. The input parameters consist of the temperature of the user, temperature difference, number of occupants, time of the day, dew point temperature, and weather conditions. The output parameters consist of compressor speed and operation mode. The controller performance was simulated. The controller is designed in such a way that it can control the compressor speed leading to energy savings, and the operation mode to optimize humidity conditions, and when the room gets hot, it switches to air conditioning. The simulated result showed that a good percentage of electrical power could be saved when fuzzy logic is utilized
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Kamala Aliyeva, Kamala Aliyeva, and Elsevar Allahverdiyev Elsevar Allahverdiyev. "IMPROVEMENT OF WORKING PERFORMANCE OF THE GAS COMPRESSOR STATION." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 07, no. 03 (2021): 18–24. http://dx.doi.org/10.36962/0703202118.
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The working performance of compressor unit for compressing of gas to required pressure for injection of gas to underground reservoir and for transportation of it is considered. Performance data of compressor station for 2018 and 2019 analyzed. Dependencies of power consumption, specific consumption of gas which uses as fuel for compressor is designed. Changes in noted above parameters during given two years are found based on detail analysis. The expediency of processing the signals of the sensors connected to the monitoring and control system of the compressor station, using fuzzy logic algorithms and digital signal processing for increasing of efficiency entire system is shown. Keywords: gas compressor, working performance, power consumption, signal processing, algorithms
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Garasumiv, V. M. "ALGORITHM OF ADJUSTMENT OF SUB-REGULATOR COEFFICIENTS WITH FUZZY LOGIC METHODS USING." METHODS AND DEVICES OF QUALITY CONTROL, no. 2(45) (December 28, 2020): 102–8. http://dx.doi.org/10.31471/1993-9981-2020-2(45)-102-108.
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The fuzzy PID tuning algorithm of proportional, integral, and derivative terms based on the fuzzy logic has been developed in the article. The fuzzy logic focuses on logic-linguistic models of representation of knowledges and it is the effective technology for creation of intellectual control systems of complex dynamic objects in the incomplete conditions.
 It has been researched that the fuzzy tuning algorithm of the basic coefficients for the PID controller сompared with the tuning algorithm based on the trial and error method, improved the quality of the of the transient process, namely reduces the overshoot and the settling time. Another advantage of the fuzzy PID tuning algorithm is that the PID controller coefficients can change their values in accordance with changing conditions of operation control object, which improves the adaptive properties of the automatic control system.
 The structure of the automatic control system based on the fuzzy PID controller has been developed, the main components of which are the fuzzy PID controller and the transfer function of the control object. The fuzzy PID controller consists of the following main components: the fazzyfication unit, the rule base and the defazzyfication unit. This structure of the automatic control system does not require special means of identifying the parameters of the turboshaft engine and its implementation using modern microcontrollers is quite simple and affordable.
 The fuzzy PID tuning algorithm has been tested with using the parameters of the turboshaft engine ДГ90Л2 with power 16MW of the compressor 16 ГЦ2-395/53-76С of Dolyna linear production administration of gas transmittal pipelines.
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Islam, Md Azharul, and Md Sahadat Hossain. "The Development of Fuzzy Logic Controller (FLC) in Air Conditioning System Using Several Types of Fuzzy Numbers." International Journal of Fuzzy Mathematical Archive 19, no. 01 (2021): 01–24. http://dx.doi.org/10.22457/ijfma.v19n1a01223.
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This is the age of modern science where different kinds of gadgets are used for the betterment of humanity. A variety of Electronics, Intelligence systems are invented via modern technology where FLC (Fuzzy Logic Controller) is used to develop their intelligence system. Nowadays, FLC is widely used in uncertainty and a robust development system. With the invention of the Air Conditioner, we live a much easier life than we used to live before. In this paper, we will discuss the way of how we can develop the FLC (Fuzzy Logic Controller) of an air conditioner system using a triangular and trapezoidal fuzzy number. Four input parameters are User Temperature (UT), Temperature Difference (Tdf), Dew Point (Td), and Number of Peoples (NP). However, Compressor Speed (CS), Fan Speed (FS), and Fin Direction (FD) are used as outputs. The simulation of this paper is carried out by using MATLAB.
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ZHANG, XIAN-XIA, SHAO-YUAN LI, and HAN-XIONG LI. "INTERVAL-VALUED FUZZY LOGIC CONTROL FOR A CLASS OF DISTRIBUTED PARAMETER SYSTEMS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 04 (2007): 457–81. http://dx.doi.org/10.1142/s0218488507004790.
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An interval-valued fuzzy logic controller (I-V FLC) is presented to control a class of nonlinear distributed parameter systems. The proposed FLC is inspired by human operators' knowledge or expert experience to control a distributed parameter process from the point of view of overall space domain. Based on spatial fuzzy set, the I-V FLC employs a centralized rule base over the space domain. Using spatial membership degree fusion operation, the I-V FLC can compress spatial input information into interval-valued fuzzy sets and then execute an interval-valued rule inference mechanism; thereby the I-V FLC has the capability to process spatial information over the space domain. Compared with traditional FLCs, the I-V FLC can improve its control performance due to its increased ability to express and process spatial information. The I-V FLC is successfully applied to a catalytic packed-bed reactor and compared with the traditional FLCs. The results demonstrate its effectiveness to control the unknown nonlinear distributed parameter process.
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Bazazzadeh, M., H. Badihi, and A. Shahriari. "Gas Turbine Engine Control Design Using Fuzzy Logic and Neural Networks." International Journal of Aerospace Engineering 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/156796.
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This paper presents a successful approach in designing a Fuzzy Logic Controller (FLC) for a specific Jet Engine. At first, a suitable mathematical model for the jet engine is presented by the aid of SIMULINK. Then by applying different reasonable fuel flow functions via the engine model, some important engine-transient operation parameters (such as thrust, compressor surge margin, turbine inlet temperature, etc.) are obtained. These parameters provide a precious database, which train a neural network. At the second step, by designing and training a feedforward multilayer perceptron neural network according to this available database; a number of different reasonable fuel flow functions for various engine acceleration operations are determined. These functions are used to define the desired fuzzy fuel functions. Indeed, the neural networks are used as an effective method to define the optimum fuzzy fuel functions. At the next step, we propose a FLC by using the engine simulation model and the neural network results. The proposed control scheme is proved by computer simulation using the designed engine model. The simulation results of engine model with FLC illustrate that the proposed controller achieves the desired performance and stability.
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Al-Mawali, Salim, and Jie Zhang. "Compressor surge control using a variable area throttle and fuzzy logic control." Transactions of the Institute of Measurement and Control 32, no. 4 (2010): 347–75. http://dx.doi.org/10.1177/0142331208101402.
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Martis, Dan. "Fuzzy Logic Estimation Applied to Newton Methods for Gas Turbines." Journal of Engineering for Gas Turbines and Power 129, no. 1 (2004): 88–96. http://dx.doi.org/10.1115/1.2360597.
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This method, based on fuzzy logic principles, is intended to find the most likely solution of an over-determined system, in specific conditions. The method addresses typical problems encountered in gas turbine performance analysis and, more specifically, to the alignment of a synthesis model with measured data. Generally speaking, the relatively low accuracy of measurements introduces a random noise around the true value of a performance parameter and distorts any deterministic solution of a square matrix-based linear system. The fuzzy logic estimator is able to get very close to the real solution by using additional (pseudo-redundant) parameters and by building the most likely solution based on each of the measurement accuracies. The accuracy—or “quality”—of a measurement is encapsulated within an extra dimension which is defined as fuzzy and which encompasses the whole range of values, between 0 (false) and 1 (true). The value of the method is shown in two examples. The first simulates compressor fouling, the other deals with actual engine test data following a hardware modification. Both examples experience noisy measurements. The method is stable and effective even at high level of noise. The results are within the close vicinity of the expected levels (within 0.2% accuracy) and the accuracy is about ten times lower than the noise level.
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Dahlan, Afiq Aiman, Amirah Haziqah Zulkifli, Henry Nasution, Azhar Abdul Aziz, and Mohd Rozi Mohd Perang. "Performance Analysis for Vehicle Air Conditioning System with Direct Current Compressor in Non-Electric Vehicle Using Fuzzy Logic Controller." Applied Mechanics and Materials 819 (January 2016): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.819.226.
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Reducing fuel consumption and ensure occupants thermal comfort are two important considerations when designing a vehicle air conditioning system. By using direct current electric compressor, speed of compressor can be controlled by changing the frequency of the inverter. Fuzzy logic controller (FLC) was developed to imitate the performance of human expert operators by encoding their knowledge in the form of linguistic rules. The system is installed to a 5-door compact car with 1.2cc four-cylinder engine with data acquisition system to monitor the temperature of the cabin, coefficient of performance (COP) and fuel consumption. Temperature set-point of 22°C with original belt-driven, on/off and FLC electric direct current compressor at one hour experimental periods. The experimental results indicate that the FLC can save more fuel compared to on/off controller and belt-driven compressor.
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Fahmizal, Fahmizal, Tommy Richard Orlando, Budi Bayu Murti, Maun Budiyanto, and Afrizal Mayub. "Kendali Logika Fuzzy pada Sistem Electronic Control Unit (ECU) Air Conditioner Mobil." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 1 (2019): 25. http://dx.doi.org/10.25126/jtiik.2019611045.
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<p>Makalah ini memaparkan perancangan kendali logika <em>fuzzy</em> pada sistem <em>electronic control unit </em>(ECU)<em> </em><em>air condition</em><em>er </em>mobil. Salah satu kendala pada ECU mobil adalah kerusakan pada sistem <em>air conditio</em><em>ner</em>. Bila ini terjadi umumnya pengguna mobil mengganti sistem ECU secara keseluruhan. Namun pada makalah ini, penulis meracang sistem ECU yang secara khusus digunakan untuk sistem <em>air conditioner</em> mobil. Sistem yang dirancang menggunakan sensor DS18B20 <em>waterproof</em> untuk mendeteksi suhu <em>evaporator</em> mobil. Selanjutnya, nilai suhu tersebut digunakan sebagai masukan logika <em>fuzzy</em> yang terdiri dari pembacaan suhu sekarang dan suhu terakhir dalam mengatur kecepatan putar kipas motor DC atau <em>fan exhausting</em> dan waktu <em>switching</em> <em>magnetic</em> <em>clutch compressor</em> menyala. Hubungan relasi masukan <em>fuzzy</em> diselesaikan dengan aturan Mamdani dan keluaran dari logika <em>fuzzy</em> diselesaikan dengan metode <em>weight average</em> (WA). Dari hasil pengujian diperoleh bahwa kendali logika <em>fuzzy</em> yang diaplikasikan pada rancangan sistem <em>air conditio</em><em>ner</em> mampu mengendalikan kecepatan <em>fan exhausting</em> secara halus dan responsif.</p><p><em><strong>Abstract</strong></em></p><p><em>This paper describes the design of fuzzy logic controls in the system of electronic control unit (ECU) of car air conditioner. One obstacle in the car ECU is damage to the air conditioner system. If this happens generally car users change the whole ECU system. But in this paper, the authors form the ECU system which is specifically used for car air conditioner systems. The system is designed using a DS18B20 waterproof sensor to detect the temperature of the car's evaporator. Furthermore, the temperature value is used as a fuzzy logic input consisting of reading the current temperature and the last temperature in adjusting the rotating speed of the DC motor fan or exhausting fan and when the switching magnetic clutch compressor is on. Completion of fuzzy input relations is solved using Mamdani rules and the output of fuzzy logic is solved using the weight average (WA) method. From the test results it was found that the fuzzy logic control applied to the design of the air conditioner system was able to control the speed of the exhausting fan in a smooth and responsive manner.</em></p><p><strong><br /></strong></p><p> </p>
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Hafaifa, A., F. Laaouad, and K. Laroussi. "Fuzzy logic approach applied to the surge detection and isolation in centrifugal compressor." Automatic Control and Computer Sciences 44, no. 1 (2010): 53–59. http://dx.doi.org/10.3103/s0146411610010074.
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Pachauri, Rupendra Kumar, and Yogesh K. Chauhan. "Analysis of power efficient compressor with fuzzy logic MPPT-based PV/FC system." International Journal of Power and Energy Conversion 9, no. 4 (2018): 327. http://dx.doi.org/10.1504/ijpec.2018.094954.
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Pachauri, Rupendra Kumar, and Yogesh K. Chauhan. "Analysis of power efficient compressor with fuzzy logic MPPT-based PV/FC system." International Journal of Power and Energy Conversion 9, no. 4 (2018): 327. http://dx.doi.org/10.1504/ijpec.2018.10011718.
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Nada, T. R. "Decoupled controller for mixed exhausts turbofan engine." Aeronautical Journal 110, no. 1114 (2006): 783–92. http://dx.doi.org/10.1017/s0001924000001652.
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This paper points out the capabilities of fully decoupled fuzzy controller which introduces simple design approach to deal with the coupling effects in controlling two spools, mixed exhausts turbofan engines. The decoupling is performed through proper selection of input parameters to the controller. Digital nonlinear engine/control system simulation is used to construct the fuzzy rules depending on simple logic. The performance of this controller is compared with that of an optimal controller representing efficient classical and conventional techniques. The decoupled fuzzy control system produces favorable transient strategies that other conventional controllers can not attempt due to its inherent proportionality characteristics. It displays improvements in surge margin for both fan and compressor, and temperature margin with almost similar response time during acceleration. Also, the proposed controller has the capabilities to increase the response speed during deceleration independently from acceleration transient.
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Anaam, Elham Abdulwahab, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen, and Rasha Thabit. "Utilizing Fuzzy Algorithm for Understanding Emotional Intelligence on Individual Feedback." Journal of Informatics and Web Engineering 2, no. 2 (2023): 273–83. http://dx.doi.org/10.33093/jiwe.2023.2.2.19.
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algorithms for FCMs are commonly utilized for assessing correlated systems that are complicated, that were created by fusing logic that is fuzzy and deep neural networks, in addition to attracted a lot of academic attention during the last ten years of study. FCMs are currently used in many different segments of application, including technology, These An essential component of informal communication, body language propose insight into a person's purposes & feelings of affection. Whereas previous studies have examined the manner in which individuals should express regret or ask for assistance, there hasn't been a thorough examination of the methods used to create an emotionally intelligent (EI) artificial a representative. This study examines a number of significant usages and developments of fuzzy mental modeling. The primary objective of the current section is to provide an innovative technique for modeling an emotion-based acceleration the compressor for individuals. Methodologies of experiential thinking postulate which our comprehension of face emotional reactions depends significantly on facial behavior imitation and the reactions as opportunities. Considering the theoretical foundations of combined logical reasoning. In addition, the hypothesis of probability, it additionally is not effective to build a comprehensive hypothesis concerning impressions. Combining EI with fuzzy logic as a combination, we were able to tackle issues with current techniques that neither artificial intelligence nor fuzzy mathematics alone could.
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Shmelev, Yu N., S. I. Vladov, A. F. Kryshan, and S. D. Gvozdyk. "Application of neural network technologies in the technical state control system of the aircraft engine TV3-117 in flight modes." Radiotekhnika, no. 194 (September 26, 2018): 147–54. http://dx.doi.org/10.30837/rt.2018.3.194.20.
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Application of neural networks in problems of aircraft engineering diagnostics exemplified by the diagnostics control of the technical state of the aircraft engine TV3-117 in the on-board system is described. The relevance of this work is the ability to control certain parameters, such as the rotor speed of the compressor, the temperature of the gas behind the turbine and the pressure behind the compressor, in real time, which will identify deviations in the engine and promptly decide on further operation of the aircraft. The decision-making process on the technical condition of the engine, as a result of monitoring its parameters, is carried out on the basis of fuzzy logic, which is an important aspect in conditions of incompleteness of information.
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Belman-Flores, Juan M., Donato Hernández-Fusilier, Juan J. García-Pabón, and David A. Rodríguez-Valderrama. "Intelligent Control Based on Usage Habits in a Domestic Refrigerator with Variable Speed Compressor for Energy-Saving." Clean Technologies 6, no. 2 (2024): 528–50. http://dx.doi.org/10.3390/cleantechnol6020028.
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Maintaining adequate temperatures for preserving food in a domestic refrigerator is a task that is affected by several factors, including the daily use of the appliance. In this sense, this work presents the development of a novel control system based on fuzzy logic that considers usage habits such as the amount of food entering the refrigerator and the frequency of opening doors. Thus, the control comprises input variables corresponding to the internal temperatures of both compartments, the thermal load entered, and the refrigerator door-opening signal. By simulating the usage habits of a refrigerator with a variable-speed compressor, the control performance was evaluated. The results showed that implementing fuzzy control using usage habits was robust enough to maintain adequate thermal conditions within the compartments and a lower thermal fluctuation concerning the reference control of the refrigerator (factory control). In terms of energy, the fuzzy control resulted in an energy saving of 3.20% with the refrigerator empty (without thermal load) compared to the reference control. On the other hand, the individual integration of the thermal load in the fuzzy control resulted in 2.08% energy savings and 5.45% for the integration of the thermal load compared to the reference control. Finally, considering the combination of usage habits, the fuzzy control presented a higher energy consumption than the reference control, around 9.7%. In this case, the fuzzy control maintained more favorable thermal conditions in both compartments, whereas the reference control presented a warmer thermal condition in the freezer.
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Єнчев, Сергій Васильович, та Сергій Олегович Таку. "Інтелектуальний регулятор запасу газодинамічної стійкості компресора авіаційного ГТД". Aerospace technic and technology, № 4 (27 серпня 2021): 48–52. http://dx.doi.org/10.32620/aktt.2021.4.07.
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The gas-dynamic stability of compressors of aircraft gas turbine engines is one of the most important conditions that determine their reliability and level of flight safety. Unstable operation of the compressor in the engine system (surge) leads to loss of thrust accompanied by an increase in gas temperature in front of the turbine and increased vibration because of large amplitudes of pressure pulsations and mass flow through the engine path. To improve the parameters of ACS aviation gas turbine engines are increasingly using regulators built using fuzzy logic algorithms. The implementation of fuzzy control algorithms differs from classical algorithms, which are based on the concept of feedback and reproduce a given functional dependence or differential equation. These functions are related to the qualitative assessment of system behavior, analysis of the current changing situation, and the selection of the most appropriate for the situation supervision of the gas turbine engine. This concept is called advanced management. ACS gas turbine engines with fuzzy regulators are nonlinear systems in which stable self-oscillations are possible. Approximate methods are used to solve the problems of analysis of periodic oscillations in nonlinear systems. Among them, the most developed in theoretical and methodological aspects is the method of harmonic linearization. The scientific problem is solved in the work – methods of synthesis of intelligent control system with the fuzzy regulator as a separate subsystem based on the method of harmonic linearization and design on its basis of fuzzy ACS reserve of gas-dynamic stability of aviation gas turbine engine. Based on the analysis of the principles of construction of fuzzy control systems, it is shown that the use of fuzzy logic provides a new approach to the design of control systems for aviation gas turbine engines in contrast to traditional control methods. It is shown that the fuzzy controller, as the only essentially nonlinear element when using numerical integration methods, can be harmonically linearized. Harmonic linearization allows using the oscillation index to assess the quality in the separate channels of fuzzy ACS aviation gas turbine engines. A fuzzy expert system has been developed for optimal adjustment of the functions of belonging of typical fuzzy regulators according to quality criteria to transients.