scholarly journals Industrial Pollution Monitoring using LABVIEW and Arduino

2021 ◽  
Vol 9 (11) ◽  
pp. 1957-1959
Author(s):  
Kishan Dadhania
Keyword(s):  
Gas Sensors ◽  
Pollution Monitoring ◽  
Safety Device ◽  
Toxic Level ◽  
Chemical Paper ◽  
Process Index ◽  
The World ◽  
Index Terms ◽  
Continuous Monitor ◽  
Excel File

Abstract: With the increase in the number of industries in the world today, it is important to keep the our environment healthy and no toxic for living creatures. This project concentrates on designing a pollution monitoring system for industries that would be detecting the toxic gases concentration in the atmosphere that is given out by chemical, paper, ammonia, etc producing industries. The system is designed to continuous monitor theconcentration of gases such as LPG, CO, Sulphur, chlorine etc. and warns if increasing level of toxic level of gases are detected. The values of the concentration of gases are logged into the excel file for future reference and perform analysis to understand the pattern of ejecting gases. This project uses Gas sensors and Arduino for detection and transmission of the data to Lab-VIEWsoftware for further process. Index Terms: Lab view, Gas sensors, monitoring, analysis,safety device

Aplikasi Kuartu Berbasis Android Sebagai Media Pertukaran Informasi Kartu Nama

2017 ◽  
Vol 9 (1) ◽  
pp. 25-32
Author(s):  
Nandi Syukri ◽  
Eko Budi Setiawan
Keyword(s):  
Mobile Devices ◽  
Information Exchange ◽  
Smart Phone ◽  
Black Box ◽  
Qr Code ◽  
Business Card ◽  
Large Numbers ◽  
The World ◽  
The Face ◽  
Index Terms

Business Card is the most efficient, effective and appropriate tool for every business men no matter they are owners, employees, more over marketers to provide information about their businesses. Unfortunately, it is very difficult to bring and manage business card in large numbers also to remember the face of the business card owner. A Business Card application need to be built to solve all those issues mentioned above. The Application or software must be run in media which can be accessed anywhere and anytime such as smart phone. Kuartu is as business card application run in mobile devices. Kuartu is developed using object base modeling for mobile sub system. The platform of the mobile sub system is android, as it is the most widely used platform in the world. The Kuartu application utilizing NFC and QR Code technology to support the business card information exchange and the Chatting feature for communication. Based on the experiment and test using black box methodology, it can be concluded that Kuartu application makes business card owner to communicate each other easily, business card always carried, easy to manage the cards and information of the business card owner can be easily obtained. Index Terms— Business Card, Android, Kuartu, NFC, QrCode, Chatting.

Situsparu: Sistem Pakar Untuk Deteksi Penyakit Tuberkulosis Paru

2018 ◽  
Vol 10 (1) ◽  
pp. 41-47
Author(s):  
Ricky Surya ◽  
Dennis Gunawan
Keyword(s):  
Expert System ◽  
Tuberculosis Patient ◽  
The Body ◽  
Certainty Factor ◽  
Good Reliability ◽  
Delone And Mclean ◽  
The World ◽  
Index Terms ◽  
Manual Calculation ◽  
Tuberculosis Prevalence

Tuberculosis is an infectious disease caused by mycobacterium tuberculosis. It can affect some parts of the body: lungs, lymph nodes, intestines, kidneys, endometrium, bones, and brain. According to the survey of tuberculosis prevalence conducted by Republic of Indonesia Ministry of Health in 2013-2014, Indonesia was the second country in the world with the most case of tuberculosis. It makes Indonesia become a country with emergency in lungs tuberculosis. An expert system for lungs tuberculosis detection is built to help people detecting the possibility of suffering from lungs tuberculosis. Therefore, it is hoped that the lungs tuberculosis patient can have early treatment. Certainty factor is used to solve the uncertainty problem delivered by the doctor when examining the patient. Thus, certainty factor is an appropriate method to be used in the expert system for detecting certain disease. This method has been correctly implemented, proved by comparing system detection result to manual calculation result. The expert system has 81.25% accuracy, 83.49% success using DeLone and McLean model, and a cronbach alpha of 0.82 which indicates a good reliability based on the indicators used in the questionnaire. Index Terms— Certainty Factor, Disease Detection, Expert System, Pulmonary Tuberculosis, Situsparu

Robust Environmental Sensing Using UAVs

2021 ◽  
Vol 2 (4) ◽  
pp. 1-20
Author(s):  
Ahmed Boubrima ◽  
Edward W. Knightly
Keyword(s):  
Air Pollution ◽  
Gas Sensors ◽  
High Performance ◽  
Weather Conditions ◽  
Ambient Air ◽  
Mission Planning ◽  
Pollution Monitoring ◽  
Compound Pollution ◽  
Planning Algorithm

In this article, we first investigate the quality of aerial air pollution measurements and characterize the main error sources of drone-mounted gas sensors. To that end, we build ASTRO+, an aerial-ground pollution monitoring platform, and use it to collect a comprehensive dataset of both aerial and reference air pollution measurements. We show that the dynamic airflow caused by drones affects temperature and humidity levels of the ambient air, which then affect the measurement quality of gas sensors. Then, in the second part of this article, we leverage the effects of weather conditions on pollution measurements’ quality in order to design an unmanned aerial vehicle mission planning algorithm that adapts the trajectory of the drones while taking into account the quality of aerial measurements. We evaluate our mission planning approach based on a Volatile Organic Compound pollution dataset and show a high-performance improvement that is maintained even when pollution dynamics are high.

scholarly journals Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis

Micromachines ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 597
Author(s):  
Saifur Rahman ◽  
Abdullah S. Alwadie ◽  
Muhammed Irfan ◽  
Rabia Nawaz ◽  
Mohsin Raza ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Gas Sensors ◽  
Chemical Engineering ◽  
Disease Diagnosis ◽  
Medical Diagnostics ◽  
Pollution Monitoring ◽  
Oxide Semiconductor ◽  
Food And Beverage ◽  
Critical Components ◽  
Mos Sensor

Gas sensors are critical components when adhering to health safety and environmental policies in various manufacturing industries, such as the petroleum and oil industry; scent and makeup production; food and beverage manufacturing; chemical engineering; pollution monitoring. In recent times, gas sensors have been introduced to medical diagnostics, bioprocesses, and plant disease diagnosis processes. There could be an adverse impact on human health due to the mixture of various gases (e.g., acetone (A), ethanol (E), propane (P)) that vent out from industrial areas. Therefore, it is important to accurately detect and differentiate such gases. Towards this goal, this paper presents a novel electronic nose (e-nose) detection method to classify various explosive gases. To detect explosive gases, metal oxide semiconductor (MOS) sensors are used as reliable tools to detect such volatile gases. The data received from MOS sensors are processed through a multivariate analysis technique to classify different categories of gases. Multivariate analysis was done using three variants—differential, relative, and fractional analyses—in principal components analysis (PCA). The MOS sensors also have three different designs: loading design, notch design, and Bi design. The proposed MOS sensor-based e-nose accurately detects and classifies three different gases, which indicates the reliability and practicality of the developed system. The developed system enables discrimination of these gases from the mixture. Based on the results from the proposed system, authorities can take preventive measures to deal with these gases to avoid their potential adverse impacts on employee health.

The Global Environment Monitoring System (GEMS) of UNEP

1982 ◽  
Vol 9 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Michael D. Gwynne
Keyword(s):  
United Nations ◽  
Monitoring System ◽  
Monitoring Network ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
The World ◽  
The United Nations ◽  
United Nations System ◽  
Activity Centre ◽  
Nations System

The Global Environment Monitoring System (GEMS) is a collective effort of the world community to acquire, through monitoring, the data needed for rational management of the environment, and arose from recommendations of the United Nations Conference on the Human Environment which was held in Stockholm in 1972. The GEMS Programme Activity Centre (PAC) at UNEP headquarters in Nairobi, Kenya, coordinates all that it can of the various environmental monitoring activities which are carried on throughout the world—particularly those within the United Nations System.Great care is taken to ensure that data gathered by GEMS are of the highest attainable quality, and that data collected from different parts of a particular monitoring network are both comparable and compatible. The GEMS Programme Activity Centre (PAC), in the manner of UNEP itself, is not operational but works mainly through the intermediary of the Specialized Agencies of the United Nations System—most notably FAO, ILO, UNESCO, WHO, and WMO—together with appropriate intergovernmental organizations such as IUCN.The GEMS monitoring system consists of five closelyinterrelated programmes which have built-in provision for training and for rendering technical assistance to ensure the participation of countries that are inadequately provided with personnel and equipment. The five are:1. Climate-related monitoring;2. Monitoring of long-range transport of pollutants;3. Health-related monitoring (concerned with pollutional effects);4. Ocean monitoring; and5. Terrestrial renewable-resource monitoring.Each of these broad areas contains at least five distinct world-wide monitoring networks. Examples of these latter are the World Glacier Inventory, Background Air Pollution Monitoring Network, Urban Air Pollution Monitoring Network, Global Water Quality Monitoring Network, Tropical Forest Monitoring Network, Species Conservation Monitoring Network, etc.Monitored data are gathered at suitable coordinating centres for each network at which appropriate data-bases have been, or are being, established. Data are analyzed to produce periodic regional and global assessments which are reported at intervals that are appropriate to the variable which is being considered.

scholarly journals Sim Card Alarm for Android Smartphone

2017 ◽  
Vol 7 (1) ◽  
pp. 09-15
Author(s):  
Rikip Ginanjar ◽  
Ridho Utomo
Keyword(s):  
Application Security ◽  
Security Applications ◽  
Is Security ◽  
The World ◽  
Sim Card ◽  
Index Terms ◽  
Security Application

Since the first Android smartphones were released, many applications have been developed until today. One of them is security application. Security applications consist of several types of applications such as Antivirus, SIM Card Change Alarm, and Applocker. SIM Card Changed Alarm is a security application that has capability to monitor SIM Card change in Android smartphones. Although there are many SIM Card Change Alarm applications which are available in Google Playstore, there are many people who are not satisfied with this applications. It happens due to them only sends the SMS alert to the owner without locking the phone to prevent other people using it. The outcome of this research will have the same feature as SIM Card Change Alarm but with additional features such as locking the smartphone if the SIM Card has been changed, locking and unlocking remotely using SMS, triggering loud alarm, and calling-back to owner when the smartphone has been lost or stolen. The outcome expected for the Prifone Application is a userfriendly application which could be used by many people around the world and also is able to secure Android smartphones. Index Terms – android, sim card alarm, security application

Air Pollution Monitoring Using WSN in Cement Factory

2018 ◽  
Vol 15 (2) ◽  
pp. 616-620 ◽  
Author(s):  
G. Anitha ◽  
V. Vijayakumari ◽  
S. Malathy ◽  
S. Jaipriya
Keyword(s):  
Air Pollution ◽  
Human Population ◽  
Industrial Revolution ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Air Pollution Monitoring ◽  
The World ◽  
Pollutant Level ◽  
Cement Factories

Industrial revolution has started to rule the world in all aspects. As a result of this, pollutant level of contagious gas in the atmosphere is increasing at an alarming rate. The pollutants in the atmosphere create imbalance in ecosystem which in turn affects the health of human population. Although there existmany methodologies to check the pollutant level in atmosphere, it still remains a challenge for certain cement factories and chemical industries to keep a check on it. Such imbalances can be controlled by using appropriate air pollution monitoring system. OPSIS, Uras26, Magnos27 and CODEL are the methods which exist in cement factories to check the pollutant level during the emission from chimney only. Wireless Sensor Network is a versatile technology that can sense, monitor, measure, and gather information. The decision can be made from the collected information. This paper proposes how sensor nodes are deployed in cement factories at various stages of manufacturing process, how the pollutant is measured and conveyed to authority through a communication medium.

scholarly journals Epidemiological, Clinical, Therapeutic and Evolutionary Aspects of Primary Operated Bronchial Cancer

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Sara Waguaf ◽  
Souheil Boubia ◽  
Samy Housbane ◽  
Rachid Cherkab ◽  
Najat Idelhaj ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Cancer Death ◽  
Bronchial Cancer ◽  
The World ◽  
Spss Software ◽  
Evolutionary Aspects ◽  
Consultation Time ◽  
Common Histological Type ◽  
Low Rate ◽  
Excel File

Introduction: Bronchial cancer is the leading cause of cancer death in the world. We conducted  this work in order to describe  the epidemiological, clinical, therapeutic and evolutionary  characteristics of primary operated bronchopulmonary cancers. Methods: Retrospective study including all operated patients from January 2016 to October 2018. The data was entered on an Excel file and then transferred to SPSS software for analysis. Results: The rate of primary operated bronchopulmonary cancers was 6,3 %. The sex ratio was 3,11. The average age was 58,5 years old. The average consultation time exceeded three months in 80% of cases. Adenocarcinoma was the most common histological type. Conclusion: The very low rate of stages I and II at the time of diagnosis requires awareness of the value of screening and early diagnosis so that patients can benefit from surgical treatment. 

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