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fuzzy logic algorithm in the planning and design of tourist attraction facilities

JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2025年第1期25卷 472-485页

作者： Hong, Lihua Dong, Tao Zhengzhou Profess Tech Inst Elect & Informat Zhengzhou Peoples R China Henan Univ Sci & Technol Sch Appl Engn 263 Kaiyuan Ave Luoyang 472000 Henan Peoples R China

To address the uncertainties and complexities inherent in planning and designing tourist attraction facilities-challenges that traditional methods struggle to manage-this study utilizes fuzzy logic (FL) algorithms within artificial intelligence (AI) technology. Focusing on the planning of first aid facilities at tourist attractions, the research develops an FL reasoning system. The system's performance is evaluated using mean squared error (MSE) and mean absolute error (MAE) as key indicators. Key data features can be extracted by preprocessing operations such as data cleaning and normalization on the collected historical data of tourist attractions, and the fuzzy sets and corresponding membership functions of input and output variables can be determined. A fuzzy rule library can be constructed using historical data and professional knowledge, and a fuzzy inference machine can be used to infer the fuzzy set of input variables based on fuzzy rules to obtain predicted results and perform deblurring transformation to output actual results. The research highlights the significant value of the FL system in optimizing the planning of emergency facilities in tourist attractions. The experiment demonstrated that the system achieved mean squared error (MSE) and mean absolute error (MAE) values of 1.90 and 1.10, respectively. These results underscore the system's strong applicability and effectiveness, providing a reliable tool for enhancing emergency planning and ensuring safety in high-traffic areas.

关键词： artificial intelligence fuzzy logic algorithm tourist attractions facility planning fuzzy reasoning

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fuzzy logic algorithm of hovering control for the quadrotor unmanned aerial system

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International Journal of Intelligent Computing and Cybernetics 2017年第4期10卷 451-463页

作者： Lie Yu Jia Chen Yukang Tian Yunzhou Sun Lei Ding School of Electronic and Electrical Engineering Wuhan Textile UniversityWuhanChina School of Information and Engineering Wuhan University of TechnologyWuhanChina

Purpose–The purpose of this paper is to present a control strategy which uses two independent PID controllers to realize the hovering control for unmanned aerial systems(UASs).In addition,the aim of using two PID controller is to achieve the position control and velocity control ***/methodology/approach–The dynamic of the UASs is mathematically *** PID controller is used for position tracking control,while the other is selected for the vertical component of velocity tracking ***,fuzzy logic algorithm is presented to use the actual horizontal component of velocity to compute the desired ***–Based on this fuzzy logic algorithm,the control error of the horizontal component of velocity tracking control is narrowed gradually to be *** results show that the fuzzy logic algorithm can make the UASs hover still in the air and vertical to the *** implications–The acquired results are based on simulation not ***/value–This is the first study to use two independent PID controllers to realize stable hovering control for *** is also the first to use the velocity of the UAS to calculate the desired position.

关键词： fuzzy logic algorithm Hovering control Position tracking control Unmanned aerial systems Velocity tracking control

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fuzzy logic algorithm for mobile robot control

Fuzzy logic algorithm for mobile robot control

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4th International Conference on Informatics in Control, Automation and Robotics

作者： Stoian, Viorel Pana, Cristina Univ Craiova Mechatron Dept Craiova Romania

ISBN: (纸本)9789728865832

This paper presents a fuzzy control algorithm for mobile robots which are moving next to the obstacle boundaries, avoiding the collisions with them. Four motion cycles (programs) depending on the proximity levels and followed by the mobile robot on the trajectory (P1, P2, P3, and P4) are shown. The directions of the movements corresponding to every cycle, for every reached proximity level are presented. The sequence of the programs depending on the reached proximity levels is indicated. The motion control algorithm is presented by a flowchart showing the evolution of the functional cycles (programs). The fuzzy rules for evolution (transition) of the programs and for the motion on X-axis and Y-axis respectively are described. Finally, some simulations are presented.

关键词： fuzzy logic algorithm mobile robots obstacole avoidance trajectory controller

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fuzzy logic algorithm for Unit Commitment Problem

Fuzzy Logic Algorithm for Unit Commitment Problem

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International Conference on Control, Automation, Communication and Energy Conservation

作者： Kadam, D. P. Sonwane, P. M. Dhote, V. P. Kushare, B. E. Pune Univ KK Wagh Inst Engn Educ & Res Nasik Maharastra India KK Wagh Inst Engn Educ & Res Dept Elect Engn Nasik Maharastra India

ISBN: (纸本)9788184244397

The Unit Commitment Problem is to determine a minimal cost turn-on and turn-off schedule of a set of electrical power generating units to meet a load demand while satisfying a set of operational constraints. The production cost includes fuel, startup, shutdown, and no-load costs. Some of the operational constraints that must be taken into account include,[2] 1. The total power generated must meet the load demand plus system losses. 2. There must be enough spinning reserve to cover any shortfalls in generation. 3. The loading of each unit must be within its minimum and maximum allowable rating. 4. The minimum up and down times of each unit must be observed. The unit commitment is aimed at devising a proper generator commitment schedule for a power system over a period of one day to one week. The main objective of unit commitment is to minimize the total production cost over the study period & to satisfy the constraints imposed on the system such as power generation-load balance, spinning reserve, operating constraints, minimum up time & minimum down time, etc. Several conventional methods are available to solve the unit commitment problem. But all these methods need the exact mathematical model of the system & there may be a chance of getting stuck at the local optimum. This paper describes the application of fuzzy logic algorithm for determining short term commitment of thermal units in electrical power generation. The results obtained from fuzzy logic based approach are compared with the priority list method solution to unit commitment problem. The comparison fuzzy logic based approach are powerful tools for solving such highly non-linear, multi constrained optimization problems in electrical power systems.

关键词： Unit Commitment problem (UCP) fuzzy logic algorithm Priority List Method

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Adaptive time delay control for cable-driven manipulators using fuzzy logic algorithm

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING 2021年第6期235卷 898-913页

作者： Yan, Fei Wang, Yaoyao Ju, Feng Chen, Bai Wu, Hongtao Nanjing Univ Aeronaut & Astronaut Natl Key Lab Sci & Technol Helicopter Transmiss Nanjing 210016 Peoples R China Zhejiang Univ State Key Lab Fluid Power & Mech Syst Hangzhou Peoples R China

A new adaptive time delay estimation technique with sliding mode control method is proposed and investigated in this passage for cable-driven manipulators. Time delay estimation technique is an effective tool to compensate for unmodeled dynamics and unknown disturbance, and adaptive time delay estimation performs better due to its adaptive control gain. The proposed adaptive method is based on the fuzzy logic algorithm which has a great advantage in input-output mapping thank to its flexibility. Tuning procedure is addressed to reveal the implementation of the newly proposed algorithm. Moreover, the desired trajectory is taken as an input of adaptive algorithm and better control performance is obtained through this attempt. The proposed controller is ultimately uniformly bounded and proof using the Lyapunov method is provided. Finally, comparative experiments show the validity and effectiveness of the proposed controller.

关键词： Control theory adaptive control cable-driven manipulator time delay estimation fuzzy logic algorithm

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QUANTITY CONTROL FOR JPEG IMAGE DATA-COMPRESSION USING fuzzy-logic algorithm

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1995年第1期41卷 42-48页

作者： SUPANGKAT, SH MURAKAMI, K MEISEI UNIV DEPT ELECTR & COMP SCITOKYO 198JAPAN

JPEG has established the first international standards for continuous -tone still image for both gray scale and color. However, since JPEG was originally designed for general applications, some modifications must be done for specific application such as digital still camera. We propose a new method to control the bit-rate of JPEG standard using fuzzy logic algorithm (FLA). A gain factor is determined to get an appropriate quantization matrix, Several rules have been prepared to calculate the gain factor. We used 18 test images for simulations and the results show that the mean error is -1.5 %, standard deviation is 1.5 % and the error range from -3 % to 1 %. Without FLA, the error range from -41 % to 43 %, the mean error is -0.11 % and standard deviation is 24.24 %.

关键词： JPEG CONSTANT OUTPUT fuzzy logic algorithm ACCURACY

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Identification and Removal of Non-meteorological Echoes in Dual-polarization Radar Data Based on a fuzzy logic algorithm

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Advances in Atmospheric Sciences 2015年第9期32卷 1217-1230页

作者： Bo-Young YE Gyu Won LEE Hong-Mok PARK Department of Astronomy and Atmospheric Sciences Research and Training Team for Future Creative Astrophysicists and CosmologistsKyungpook National University Center for Atmospheric REmote sensing(CARE) Kyungpook National University

A major issue in radar quantitative precipitation estimation is the contamination of radar echoes by non-meteorological targets such as ground clutter,chaff,clear air echoes *** this study,a fuzzy logic algorithm for the identification of non-meteorological echoes is developed using optimized membership functions and weights for the dual-polarization radar located at Mount *** selected precipitation and non-meteorological events,the characteristics of the precipitation and non-meteorological echo are derived by the probability density functions of five fuzzy parameters as functions of reflectivity *** membership functions and weights are then determined by these density ***,the nonmeteorological echoes are identified by combining the membership functions and *** performance is qualitatively evaluated by long-term rain *** detection accuracy of the fuzzy logic algorithm is calculated using the probability of detection（POD）,false alarm rate（FAR）,and clutter–signal ratio（CSR）.In addition,the issues in using filtered dual-polarization data are alleviated.

关键词： dual-polarization radar non-meteorological echo quality control fuzzy logic algorithm

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Multiplexed control strategy for a multi-input converter using fuzzy logic algorithm

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ELECTRONICS LETTERS 2016年第15期52卷 1327-1328页

作者： Hanif, Noor-ul-Ain Kashif, S. A. R. Saqib, M. A. Univ Engn & Technol Dept Elect Engn Lahore Pakistan

The design analysis of a multi-input converter using an intelligent controller based on fuzzy logic control algorithm is encompassed. The use of dedicated dc-dc converters is going through a transitory phase in smart-grid applications. Different characteristics of inputs can be combined to give desired output operation by using a multi-input converter which is more or less the combination of individual converters sharing a common load thus simultaneously transferring power to the load. The converter with the help of an intelligent algorithm will ensure the buffering time for each input thus multiplexing between various inputs according to the set demand and fluctuating conditions on the input side. Such a converter will behave as a power electronic interface between the utility, user and the renewable energy sources. A three-input cuk converter has been designed for interfacing wind energy sources with the dc load bus and the main grid. Sending power to the main grid incorporates the power quality enhancement features which will be accommodated using the bi-directional inverter connected with the grid to perform the active filtration. Moreover, three fuzzy logic controllers will set the output currents corresponding to each input current by changing their reference voltages according to the power demand.

关键词： Power supply quality and harmonics power supply quality active filtration transitory phase fuzzy logic control algorithm power electronic interface Wind power plants multiinput converter fuzzy control set demand condition dedicated DC-DC converters DC load bus fluctuating condition Control of electric power systems intelligent controller fuzzy control design analysis bi-directional inverter smart-grid application three-input cuk converter fuzzy logic algorithm intelligent control multiplexed control strategy renewable energy sources wind power plants fuzzy logic controllers buffering time power quality enhancement Power electronics, supply and supervisory circuits wind energy sources DC-DC power convertors

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The evaluation of Learning Management Systems using an artificial intelligence fuzzy logic algorithm

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ADVANCES IN ENGINEERING SOFTWARE 2010年第2期41卷 248-254页

作者： Cavus, Nadire Near East Univ Dept Comp Informat Syst TR-98010 Lefkosa Cyprus Turkey

There are many open source and commercially available Learning Management System (LMS) on the Internet and one of the important problems in this field is how to choose an LMS that will be the most effective one and that will satisfy the requirements. In order to help in the solution of this problem, the author has developed a computer program to aid in the selection of an LMS. The developed system is web-based and can easily be used over the Internet any where over the world at any time. The developed system is basically a web-based decision support system used to evaluate LMSs by using a flexible and smart algorithm derived from artificial intelligent concepts with fuzzy logic values. The paper describes the development of the LMS evaluation system. The individuals who are most likely to be interested in the LMS evaluation process are teachers, students, and any educational organizations such as: universities, schools, institutes, and anyone else who seeks to have a LMS. (C) 2009 Published by Elsevier Ltd.

关键词： Learning Management System Artificial intelligence fuzzy logic algorithm Distributed learning environments Evaluation of CAL systems Intelligent tutoring systems Interactive learning environments Distance education Tele-learning

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A fuzzy logic algorithm derived mechatronic concept prototype for crop damage avoidance during eco-friendly eradication of intra-row weeds

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Artificial Intelligence in Agriculture 2020年第1期4卷 116-126页

作者： Satya Prakash Kumar V.K.Tewari Abhilash K.Chandel C.R.Mehta Brajesh Nare C.R.Chethan Kaustubh Mundhada Prateek Shrivastava Chanchal Gupta Smrutilipi Hota Indian Council of Agricultural Research(ICAR) Central Institute of Agricultural EngineeringBhopalIndia Indian Institute of Technology Kharagpur 721302India Biological Systems Engineering Washington State UniversityPullman 99164WAUSA ICAR-Central Potato Research Station Jalandhar 144026India ICAR-Directorate of Weed Research Jabalpur 482004India

Crop damage during the intra-row weed eradiation is one of the biggest challenges in intercultural agricultural *** available mechanical systems provide effective weeding but result in excess crop *** the other hand,chemical based systems have been raising serious environmental and food *** study presents development of a cost-effectivemechatronic prototype for intra-rowweeding *** primary focus was on incurring minimal crop *** system integrates time of flight and inductive sensing into fuzzy logic algorithm for electronic control of a four-bar linkage mechanism(FBLM).The crank of FBLM was connected to the vertical rotary weed control shaft with weeding *** crop sensing triggers the electronic control to laterally shift the control shaft away from crop,proportional to the forward speed and soil *** developed algorithm incorporates varied conditions of soil,forward speed,and plant spacing to calculate dynamic lateral shift speed(SRPM).The prototype was evaluated to determine the relationships between the operating conditions and electronic control ***,the plant damage was assessed under varied conditions of plant spacing,forward speeds,soil cone index,operational depth and electronic control *** derived SRPM was established as the ultimate governing factor for avoiding crop damage that varied significantlywith electronic response time and soil strength(P<0.05).Plant damage increased significantly under higher forward speeds and lower plant spacing(P<0.05).Preliminary field evaluation of the developed prototype showed a significant potential of this system for effective control on weeds(>65%)and crop damage(<25%).

关键词： Intra-row weed control Mechatronic prototype fuzzy logic algorithm Plant damage Weeding efficiency

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