Design of Smart Trash Can Using Fuzzy Logic Algorithm  Based on Arduino

<span>Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the attention of cleaning officers to dispose of trash. To dispose of garbage, the clerk needs to shift the open and close trash button so that the lid will open. The author hopes that this smart trash can can increase public awareness to dispose of garbage in its place. The results of study show that PIR sensors work by well in detecting the presence of humans and ultrasonic sensors in detecting the height of garbage are not accurate, so that if the trash if the trash can is empty, sometimes the garbage is minus, whereasif the garbage is < 3.5 cm, the sensor fails detect it.</span>

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Tempat Sampah Pintar Dengan Logika Fuzzy Berbasis NodeMCU

Indonesian Journal of Computer Science ◽

10.33022/ijcs.v9i1.256 ◽

2020 ◽

Vol 9 (1) ◽

pp. 11-21

Author(s):

Mhd Furqan ◽

Rakhmat Kurniawan ◽

Indri Gusmita Br Rambe

Keyword(s):

Fuzzy Logic ◽

Data Processing ◽

Web Application ◽

Sensor System ◽

Volume Status ◽

Ultrasonic Sensors ◽

Data Processing Center ◽

Precision Rate

This research aimed to design a smart dustbin. The smart dustbin was made by using ultrasonic sensors to detect the object and the volume of trash height. NodeMCU was used as data processing center, and LCD used as information output. The dustbin also using fuzzy logic to produce the volume status output of the trash height. It’s starting from empty to fully loaded. The janitor also can do re-check of the dustbin’s volume efficiently and effective through web application. Based on the testing result, the conclusion of the research is the sensor system has accuracy of precision rate of 93,4.

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Ranking Egyptian Universities Using Fuzzy Logic

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i8.117 ◽

2018 ◽

Vol 6 (8) ◽

pp. 40

Author(s):

Hani M. Arwag ◽

Yasser F. Hassan ◽

Ashraf S. EL Saiad

Keyword(s):

Higher Education ◽

Fuzzy Logic ◽

Higher Education Institutions ◽

Public Awareness ◽

Scientific Research ◽

Policy Makers ◽

Fuzzy Logic Algorithm ◽

Academic Fields ◽

Ranking Systems ◽

The Media

During the last quarter of a century, university ranking systems have been developed as an outcome of new academic fields and metrics. Although they have attracted wide attention from policy makers, students, academicians, authorities and the media, they have been subjected to criticism. Any university that does not change as with the environment around them is doomed to fail. The results of universities in international rankings are a disturbing and foreboding danger. Universities are seeking to improve its services, students, citizens and visitors, to achieve better results in the international rankings. The objective of this study is spread public awareness of the importance of ranking of universities and higher education institutions, and push these institutions towards excellence and competition in the quality of scientific research and academic performance, and spreading the culture of the orientation about the universities rankings and higher education institutions in Egypt. By using web service we have collected data on Egyptian Universities of interest from a more number of web Services for fifteen Indicator each Egyptian University, We have constructed the weight matrix for the Indicator, Where an algorithm was created to Ranking the Egyptian universities using the membership function (trapezoidal ) in fuzzy logic Has been applied the fuzzy logic algorithm on the that data, we have compared the results with some International rankings for example (QS,U.S Nwes, Webmatix).This study showed positive results about comparing the results we get with some of the global rankings, the study confirmed that the Egyptian universities have high capabilities in the field of scientific research.

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Design of Parking Control Using Ultrasonic Sensor Based On Fuzzy Logic

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING ◽

10.31289/jite.v3i1.2675 ◽

2019 ◽

Vol 3 (1) ◽

pp. 155

Author(s):

Insidini Fawwaz ◽

Fadhillah Azmi ◽

. Muhathir ◽

N P Dharshinni

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Ultrasonic Sensor ◽

Public Places ◽

Proximity Sensor ◽

Parking Lots ◽

Fuzzy Methods ◽

Infra Red ◽

Parking Lot ◽

Fuzzy Logic Method

<span>The number of vehicles in Indonesia is currently increasing, which is not matched by the availability of parking lots, especially cars. Like in public places, namely, offices, shops, and other public places. However, in Indonesia the use of parking lots is still less organized, such as too close the position of one car to another, the position of the vehicle that is not in line with the slot, this can cause inconvenience in the use of parking lots or both parties. Supervision carried out by the manager of the parking lot is still lacking because it can be caused by the vast parking area and the number of supervised vehicles, so that a parking control system is needed that can help overcome this problem. The control system to be designed uses a proximity sensor to detect the proximity of the vehicle to one another, where the position of the vehicle has been determined, not only to detect proximity, but the number of vehicles that have entered the parking area, so parking users know whether the slot provided is still available or not. To detect distance, fuzzy logic method is applied. Fuzzy methods are applied to read the conditions received by the proximity sensor, and calculate the number of vehicles using infra red and photodiode sensors. If information from the proximity sensor that is processed in the microcontroller by fuzzy logic is detected, the output is in the form of an LED indicator and alarm warning.</span>

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Operational qualification of scientific pipeline in big data processing center for Gaia mission

15th International Conference on Space Operations ◽

10.2514/6.2018-2511 ◽

2018 ◽

Author(s):

Julie Guiraud

Keyword(s):

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Operational Qualification ◽

Data Processing Center

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A Preliminary Study of Meteotsunami Using Fuzzy Logic Algorithm over Sunda Strait, Indonesia

2020 3rd International Conference on Information and Communications Technology (ICOIACT) ◽

10.1109/icoiact50329.2020.9332144 ◽

2020 ◽

Author(s):

Nur Arifin Akbar ◽

Ema Utami ◽

Wahyu Sasongko Putro ◽

Zadrach Ledoufij Dupe ◽

Andi Cahyadi ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Algorithm ◽

Preliminary Study

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

Artificial Intelligence in Agriculture ◽

10.1016/j.aiia.2020.06.004 ◽

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

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Multiple power quality events recognition and classification based on adaptive Eigen-based type-2 fuzzy logic algorithm

Iran Journal of Computer Science ◽

10.1007/s42044-021-00088-0 ◽

2021 ◽

Author(s):

Rahul

Keyword(s):

Fuzzy Logic ◽

Power Quality ◽

Fuzzy Logic Algorithm ◽

Multiple Power

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A Kalman filtering fuzzy logic algorithm for recognition of lane departure

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189970 ◽

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.

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