scholarly journals Smart Air Filter Based on Activated Charcoal and Aloe Vera Using Fuzzy Logic Algorithm

2021 ◽  
Vol 2111 (1) ◽  
pp. 012047
Author(s):  
F Arifin ◽  
W R Gusti ◽  
A Nasuha ◽  
A S Priambodo ◽  
A Winursito
Keyword(s):  
Lung Cancer ◽  
Fuzzy Logic ◽  
Cigarette Smoke ◽  
Activated Charcoal ◽  
Control Method ◽  
Aloe Vera ◽  
Smart Device ◽  
Upper Respiratory Tract ◽  
Fuzzy Logic Algorithm ◽  
Tract Cancer

Abstract Smoking is one of the main risk factors of several chronic diseases such as lung cancer, upper respiratory tract cancer, heart disease, stroke, bronchitis, emphysema and others, even smoking can cause death. Cigarette smoke inhaled by passive smoking is the main cause of lung cancer in people who are not smokers. The risk of lung cancer increases by 20-30% in non-smokers but always surrounded by cigarette smoke, compared to non-smokers who are not exposed to smoke. This study aims to develop a smart device to filter cigarette smoke so that the air released from this device is free from the dangers of cigarette smoke. The materials used in this device as a cigarette smoke filter are activated charcoal and aloe vera, the pores of the charcoal open and can become adsorbents. This device uses fuzzy logic as a control method that can provide decisions that resemble human decisions. Arduino is used to adjust the fan rotation in absorb cigarette smoke and the LCD to display the level of cigarette smoke.

Fuzzy Sliding Modes with Moving Surface for the Robust Control of a Planar Robot

2005 ◽  
Vol 11 (7) ◽  
pp. 903-922 ◽  
Author(s):  
Nurkan Yagiz ◽  
Yuksel Hacioglu
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Equations Of Motion ◽  
Sliding Mode Controller ◽  
Sliding Surface ◽  
Fuzzy Logic Algorithm ◽  
Mode Control ◽  
Planar Robot

In this paper, we develop a new control method that brings together the advantages of fuzzy logic and sliding mode control. First, we introduce a non-chattering robust sliding mode control. Then, in order to improve the performance of the controller a fuzzy logic algorithm is integrated with the sliding mode controller. This algorithm decides the slope of the sliding surface of the sliding mode controller dynamically. Thus, the system is caught on the sliding surface rapidly and remains over it, more successfully improving the performance of the controller. Afterwards, to test the success of the controller introduced, it is applied to a planar robot, which is to follow a certain trajectory only using the control inputs produced. The results are compared with those of a conventional PID controlled system and a sliding mode controller with constant surface slope. In order to check the robust behavior of the controller designed, an unexpected change in the mass of the second link is introduced and to make the conditions tougher it is assumed that this change is not sensed by the controllers. Noise resistance of the proposed controller is also checked by introducing normally distributed noise components into the equations of motion of the robot model.

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

2020 ◽  
pp. 095965182095916
Author(s):  
Fei Yan ◽  
Yaoyao Wang ◽  
Feng Ju ◽  
Bai Chen ◽  
Hongtao Wu
Keyword(s):  
Fuzzy Logic ◽  
Time Delay ◽  
Control Method ◽  
Sliding Mode ◽  
Adaptive Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Estimation Technique ◽  
Fuzzy Logic Algorithm ◽  
Adaptive Time

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.

Sputum Cytologic Diagnosis of Upper Respiratory Tract Cancer

1978 ◽  
Vol 87 (4) ◽  
pp. 468-473 ◽  
Author(s):  
H. Bryan Neel ◽  
Lewis B. Woolner ◽  
David R. Sanderson
Keyword(s):  
Lung Cancer ◽  
High Risk ◽  
Respiratory Tract ◽  
Early Cancer ◽  
Etiologic Agent ◽  
High Risk Population ◽  
Upper Respiratory Tract ◽  
Cytologic Diagnosis ◽  
Tract Cancer ◽  
Upper Respiratory

Sputum cytologic testing has been applied in the screening of high-risk individuals for presymptomatic lung cancer. This same screening procedure sometimes identifies patients with upper respiratory tract cancers and thereby may permit earlier treatment. Patients enrolled in the Mayo Lung Project undergo sputum cytologic and chest roentgenographic screening at four-month intervals and are compared with matched controls who are not intensively screened. Experience to date indicates an incidence rate of approximately 1 per 1,000 per year of cancer in the upper respiratory and alimentary passages among males more than 45 years old who are heavy cigarette smokers. This compares with a rate of approximately 4 per 1,000 per year of lung cancer. Recognition of early cancer of the upper respiratory tract is an additional benefit of screening for lung cancer. Since cigarette smoking represents an etiologic agent common to both upper and lower respiratory tract cancers, tumors should be searched for in both sites in this high-risk population.

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

2020 ◽  
Vol 4 ◽  
pp. 116-126
Author(s):  
Satya Prakash Kumar ◽  
V.K. Tewari ◽  
Abhilash K. Chandel ◽  
C.R. Mehta ◽  
Brajesh Nare ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Crop Damage ◽  
Fuzzy Logic Algorithm ◽  
Damage Avoidance

scholarly journals Adaptive speed control method for electromagnetic direct drive vehicle robot driver based on fuzzy logic

2019 ◽  
Vol 52 (9-10) ◽  
pp. 1344-1353 ◽  
Author(s):  
Gang Chen ◽  
Weigong Zhang ◽  
Xu Li ◽  
Bing Yu
Keyword(s):  
Fuzzy Logic ◽  
Control Method ◽  
Tracking Error ◽  
Speed Control ◽  
System Structure ◽  
Direct Drive ◽  
Test Standards ◽  
Speed Controller ◽  
Fuzzy Neural ◽  
Vehicle Test

To solve the shortcomings of existing control methods for an electromagnetic direct drive vehicle robot driver, including large speed tracking error and large mileage deviation, a new adaptive speed control method for the electromagnetic direct drive vehicle robot driver based on fuzzy logic is proposed in this paper. The electromagnetic direct drive vehicle robot driver adapts an electromagnetic linear motor as its drive mechanism. The control system structure is designed. The coordinated controller for multiple manipulators is presented. Moreover, an adaptive speed controller for the electromagnetic direct drive vehicle robot driver is proposed to achieve the accurate tracking of desired speed. Experiments are conducted using a Ford FOCUS car. Performances of the proposed method, proportional–integral–derivative, and fuzzy neural network are compared and analyzed. Experimental results demonstrate that the proposed control method can accurately track the target speed, and it can inhabit the change of speed caused by interference under different test conditions, and it has small mileage deviation, which can meet the requirements of national vehicle test standards.

Cigarette smoke extract reduces FOXO3a promoting tumor progression and cell migration in lung cancer

Toxicology ◽  
2021 ◽  
pp. 152751
Author(s):  
Serena Di Vincenzo ◽  
Claudia Sangiorgi ◽  
Maria Ferraro ◽  
Marco Buscetta ◽  
Chiara Cipollina ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Migration ◽  
Tumor Progression ◽  
Cigarette Smoke ◽  
Cigarette Smoke Extract

A Kalman filtering fuzzy logic algorithm for recognition of lane departure

2021 ◽  
pp. 1-8
Author(s):  
Kai Ren
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Kalman Filtering ◽  
Traffic Accidents ◽  
Region Of Interest ◽  
Fuzzy Logic Algorithm ◽  
The Road ◽  
Departure Decision ◽  
Lane Departure ◽  
Fusion Analysis

In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment.

Active control of flexible structures using a fuzzy logic algorithm

2002 ◽  
Vol 11 (4) ◽  
pp. 541-552 ◽  
Author(s):  
Kelly Cohen ◽  
Tanchum Weller ◽  
Joseph Z Ben-Asher
Keyword(s):  
Fuzzy Logic ◽  
Active Control ◽  
Flexible Structures ◽  
Fuzzy Logic Algorithm
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