scholarly journals Vehicular Pollution Monitoring Using IOT

Author(s):  
Sampada N. Lolge

Abstract: The air quality in metropolises is demeaning as a result of a complex commerce between natural and artificial environmental conditions. With the increase in urbanization and industrialization and lack of control on emigrations and use of catalytic transformers, a great quantum of particulate and poisonous feasts is produced. The ideal of this design is to cover air pollution on roads and track vehicles which beget pollution over a specified limit. Increased use of motorcars is a serious problem that has been around for a veritably long time. This paper gives check of different systems used to cover vehicular pollution and proposes use of Internet of Effects (IoT) to address this problem. Then, combination of Poisonous Gas Detectors and Radio Frequency Identification (RFID) trailing system is used to cover vehicular pollution records anytime anywhere. Keywords: loT, WS, Arduino, RFlD, Gas Sensor

2012 ◽  
Vol 22 (5) ◽  
pp. 363-372 ◽  
Author(s):  
Alok Mishra ◽  
Deepti Mishra

Recently, Radio Frequency Identification (RFID) has received considerable attention and is considered to be the next wave of information technology revolution. The number of RFID applications in different industries is increasing continuously. Cumulative sales of RFID tag is up in 2006 which shows RFID adoption trend in industries to improve their efficiency of operations and to gain a competitive advantage. In the aviation industry, major airports, airlines have been also planning the RFID adoption in baggage handling and customer services areas for a long time. Many pilot tests have been performed at various airports and RFID tags were found to be far more precise along with better performance than bar codes. This paper provides a review on RFID systems, associated technology, advantages, limitations and applications in various fields. Further, this paper reports the preliminary review of state of RFID adoption planning, architecture and implementation plan in a major airline, focusing on improved baggage handling, increased airport/airline security and customer services. KEYWORDS: aviation, airline, baggage handling, customer-service, Radio Frequency Identification (RFID)


Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1191
Author(s):  
Suman Kalyan Sardar ◽  
Biswajit Sarkar

Presently, it is essential to increase customer service such that the Supply Chain Management (SCM) can earn more profit in a sustainable manner. In the supply chain, the manufacturer and the retailer are two players who try to maintain the joint profit of the Supply Chain (SC) without only thinking about their own respective profits. However, the retailer may not provide all information to the manufacturer. This research introduces the use of the advanced technology Radio Frequency IDentification (RFID) in a retailer’s shop to obtain exact information about customer demand. A consignment policy is used to increase the manufacturer profit, and a fixed fee is offered to the retailer to generate more profit in coordination with the manufacturer. This study is conducted with and without the effect of RFID to show the benefit of SCM even when the retailer is unreliable. Both models are solved using the classical optimization technique. Numerical findings prove that SCM can benefit from the outcome of this study even for unreliability. Coordination within SCM can be maintained for a long time by using the proposed recommendations of this study.


JURNAL ELTEK ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 43
Author(s):  
Nurul Hidayati ◽  
Rieke Adriati Wijayanti ◽  
Ahmad Wilda Yulianto ◽  
Dianthy Marya ◽  
Muhammad Syirajuddin Suja'i

Abstrak Banyak cara untuk mengetahui keberadaan para dosen dan mahasiswa pada saat aktifitas perkuliahan, mulai dari cara lama menggunakan kertas lembar presensi, menggunakan barcode hingga cara yang sudah terkomputerisasi. Dan permasalahan yang sering timbul dalam Politeknik Negeri Malang adalah perhitungan absensi yang memakan waktu lama dan membutuhkan usaha ekstra untuk merekap data dari lembar absensi mahasiswa pada setiap kelas. Pada penelitian ini, sistem absensi akan menggunakan teknologi RFID (Radio Frequency Identification). Dimana setiap dosen dan mahasiswa akan memliki tag RFID dengan nomor identitas masing-masing yang akan digunakan untuk melakukan absensi. Tag RFID tersebut akan dipindai dan data yang didapat akan disimpan pada database berupa nama, tanggal, hari, jam hadir dan jam keluar. Dari data tersebut akan diolah shingga dapat diketahui jumlah kehadiran dosen, absensi, dan jumlah kompensasi dari mahasiswa. Pada penelitian ini kinerja, kecepatan, jarak jangkau dan ketahanan dari noise diteliti menggunakan aplikasi Wireshark. Dan didapatkan bahwa sistem dapat berjalan dengan waktu yang sangat singkat, waktu rata-rata yang digunakan untuk mengirimkan data adalah 447ms dan masih dapat bekerja meskipun terhalang oleh kertas dengan ketebalan dibawah 2.8cm. Sehingga dengan menggunakan aplikasi ini, proses absensi dan proses perhitungan kompensasi yang semula cukup lama dan membutuhkan usaha ekstra dapat dilakukan dengan cepat dan efisien.   Abstract There are many ways to find out the whereabouts of lecturers and students during lecture activities, like using old method by writing in presence sheet paper, using barcodes or using computerized methods. And the problem that often arises in the State Polytechnic of Malang is the calculation of attendance which takes a long time and requires extra effort to recap the data from student attendance sheets in each class. In this study, the attendance system will use RFID (Radio Frequency Identification) technology. Where each lecturer and student will have an RFID tag with their respective identity numbers which will be used for attendance. The RFID tag will be scanned and the data obtained will be stored in the database in the form of name, date, day, time of attendance and time out. From this data, it will be processed so that it can be seen the number of lecturers' attendance, attendance, and the amount of compensation for each students. In this study, the performance, speed, range and resistance of noise were examined using the Wireshark application. And it was found that the system can run in a very short time, the average time used to transmit data is 447ms and can still work even though it is hindered by paper with a thickness below 2.8cm. so that by using this application, the attendance process and the process of calculating compensation, which were quite long and required extra effort, can be done quickly and efficiently.


JURNAL ELTEK ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 72
Author(s):  
Abdul Rasyid ◽  
Waluyo Waluyo ◽  
Lis Diana Mustafa ◽  
Ellen Kurniawati ◽  
Malika Aditya

Abstrak Banyak cara untuk mengetahui keberadaan para dosen dan mahasiswa pada saat aktifitas perkuliahan, mulai dari cara lama menggunakan kertas lembar presensi, menggunakan barcode hingga cara yang sudah terkomputerisasi. Dan permasalahan yang sering timbul dalam Politeknik Negeri Malang adalah perhitungan absensi yang memakan waktu lama dan membutuhkan usaha ekstra untuk merekap data dari lembar absensi mahasiswa pada setiap kelas. Pada penelitian ini, sistem absensi akan menggunakan teknologi RFID (Radio Frequency Identification). Dimana setiap dosen dan mahasiswa akan memliki tag RFID dengan nomor identitas masing-masing yang akan digunakan untuk melakukan absensi. Tag RFID tersebut akan dipindai dan data yang didapat akan disimpan pada database berupa nama, tanggal, hari, jam hadir dan jam keluar. Dari data tersebut akan diolah shingga dapat diketahui jumlah kehadiran dosen, absensi, dan jumlah kompensasi dari mahasiswa. Pada penelitian ini kinerja, kecepatan, jarak jangkau dan ketahanan dari noise diteliti menggunakan aplikasi Wireshark. Dan didapatkan bahwa sistem dapat berjalan dengan waktu yang sangat singkat, waktu rata-rata yang digunakan untuk mengirimkan data adalah 447ms dan masih dapat bekerja meskipun terhalang oleh kertas dengan ketebalan dibawah 2.8cm. Sehingga dengan menggunakan aplikasi ini, proses absensi dan proses perhitungan kompensasi yang semula cukup lama dan membutuhkan usaha ekstra dapat dilakukan dengan cepat dan efisien.     Abstract There are many ways to find out the whereabouts of lecturers and students during lecture activities, like using old method by writing in presence sheet paper, using barcodes or using computerized methods. And the problem that often arises in the State Polytechnic of Malang is the calculation of attendance which takes a long time and requires extra effort to recap the data from student attendance sheets in each class. In this study, the attendance system will use RFID (Radio Frequency Identification) technology. Where each lecturer and student will have an RFID tag with their respective identity numbers which will be used for attendance. The RFID tag will be scanned and the data obtained will be stored in the database in the form of name, date, day, time of attendance and time out. From this data, it will be processed so that it can be seen the number of lecturers' attendance, attendance, and the amount of compensation for each students. In this study, the performance, speed, range and resistance of noise were examined using the Wireshark application. And it was found that the system can run in a very short time, the average time used to transmit data is 447ms and can still work even though it is hindered by paper with a thickness below 2.8cm. so that by using this application, the attendance process and the process of calculating compensation, which were quite long and required extra effort, can be done quickly and efficiently.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2645-2650

“Air Pollution is the major problem that we are facing now-a-days. Controlling air pollution in an area is becoming difficult and many people are facing a lot of health issues due to this increased pollution rates in the country. The increased amount of carbon monoxide (CO), smoke, carbon dioxide (CO2) have lead a severe impact on the human life. The growing number of vehicles and industries contributes to air pollution to a greater extent. This paper presents a model which helps in monitoring the air pollution through the use of internet of things (IoT) platform. Implementing it with sensors and arduino which will help the user to know about the temperature and the humidity level on the smart phone and accordingly the user can take preventive measures. Also the system detects air quality and if the amount of pollutants increased.”


2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Randy Randy ◽  
Sean Coonery Sumarta ◽  
Erick Alfons Lisangan

The presence of the mall allows people to make ends meet only at one location. The park service is one of the most important services in the mall. The visitor often face some problem, such as very difficult in finding the location of an empty parking lot. Visitors tend to choose the nearest door so that they do not require a long time to walk. In obtaining the location of parking, visitors sometimes have to spin in advance to obtain the desired parking spot. Based on these problems, a system designed to provide recommendations on the location of the nearest parking lot to the outlet that user want to visit. Every parking lot and outlet will be given the coordinates that will be used to calculate the distance by using Euclidean distance. Arduino Uno is used to control Light Dependent Resistor (LDR) sensors, buzzer, and Radio Frequency Identification (RFID) reader. The test of designed system involves 10 different scenarios. The result of designed system testing show the percentage of availability of the nearest parking lot with outlets to be visited is 100%. This is due to the system is designed by considering the distance between the lot with the destination outlet and the nearest lot availability status. If the closest lot was occupied, the system will automatically give recommendations next closest lot to the user.


2018 ◽  
Vol 7 (2.7) ◽  
pp. 376
Author(s):  
Saranyakumar Chigurupati ◽  
Ravi Teja Vallamsetti ◽  
Yogesh Misra ◽  
Ragipati Karthik

The major source of air pollution is vehicles. The vehicular pollution is increasing day by day and smoke emission from Automobile is causing pollution and also becoming hazardous to people health. An Arduino based prototype is developed to monitor and send the in- formation about the pollution emitted by a vehicle to competent authority. Simultaneously, if the pollution level is high then the vehicle ignition will automatically off by the system. IoT technology has made it possible to send the information about the pollution level in the form of SMS. 


Author(s):  
Eliot Rich

“Stop Stopping, Get Going.” The commonwealth of Virginia’s Web site slogan (2005) tells much of the E-ZPass story.1 E-ZPass uses computer technology to automate vehicle toll collection and payments across most of the northeastern and eastern sections of the United States. E-ZPass participants have radio frequency identification (RFID) tags installed in their cars to signal their trip through a tollbooth. Each entry and exit is recorded in a database and charged against an account on file. Bills for tolls may be paid automatically through a credit card charge or from deposits in a cash account. Electronic toll collection reduces delays at tolls, eliminates fumbling for change, trims air pollution from idling vehicles, and accelerates travel. By most accounts, E-ZPass has been a resounding success. Within the northeastern and midwestern United States, over 9 million account holders subscribe to the program, recording over 2 billion transactions each year for road, bridge, and tunnel use in 2006. Customer satisfaction is high, and program enrollments continue to grow. E-ZPass represents a state-of-the-art practice in electronic toll collection as well as a significant success in the use of RFID technology for consumers (U.S. Federal Trade Commission, 2005).


2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Adewole David Bamidele ◽  
Oluwole Charles Akinyokun

The subject of safety and security of Human Resource (HR) of corporate organizations is a major concern due to the sudden rise in crimes, accidents and various hazards associated with workplaces and the society in recent times. This paper proposes a system for monitoring HR activities and movements in the workplace in real time. The proposed system employs the use of Internet of Things (IoT) wearable devices which are made up of Arduino Uno microcontroller, wireless Radio Frequency Sensors (RFS), Radio Frequency Identification (RFID) tags/readers and Global Positioning System (GPS) modules. The system aims at tracking, locating and keeping the log of the activities and movements of employees at any instant thereby providing information required by employers and security agencies to ensure timely intervention in case of emergency and urgent evacuation. 


Author(s):  
A. D. Vyas ◽  
K. Mahale ◽  
R. Goyal

To determine appropriate measures to reduce air pollution in any urban city, the first essential requirement is to estimate the spatial distribution of air pollution parameters in that area. In absence of air monitoring stations, alternative methods are required for the same. In the present work, a GIS-based methodology is presented to estimate the level of NO2 based on the road density of the road network of different categories of roads. Road network GIS layer and measured levels of the average value of NO2 for the year 2019 at 12 air pollution monitoring stations of Jaipur city are used to develop a large number of possible linear regression models for estimation of NO2 values based on road density values. Akaike Information Criterion (AIC) and adjusted r2 values are used to evaluate and arrive at the best-fitted model. Values from the cities of Jodhpur and Kota are used to validate the model. Using this model, NO2 levels are determined at 91 wards of Jaipur city and the output is compared with the similar map derived based on interpolation of NO2 values at the 12 monitoring stations. It is concluded that the methodology developed in this study generates better estimates of NO2 at the ward levels.


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