scholarly journals NOISE DETECTION SYSTEM

Author(s):  
Shaikh Shahrukh ◽  
Mulani Rameez ◽  
Khan Abdul

Noise Pollution is a growing problem in Modern cities, thanks to rapid population growth, urbanization and new technologies. Moreover, at times, a noisy neighbor or co-worker can drive you crazy and affect your wellbeing. Traffic light control systems ar widely used to monitor and control the flow of automobiles through the junction of many roads. They aim to realize smooth motion of cars in the transportation routes. However, this system also leads to Noise Pollution which this present traffic signal doesn’t considers a problem. But any sound which crosses the parameter of 90 Hz is considered Noise which you’ll get to hear at each and every traffic signal present at every adjacent intersection. Exposure to prolonged or excessive noise has been shown to cause range of health problems ranging from stress, poor concentration, productivity loss in the workplace, and communication difficulties and fatigue from lack of sleep, to more serious issues such as cardiovascular disease, cognitive impairment, tinnitus and hearing loss. Hence, to overcome all these problems and help our society we propose a system based on Arduino with High-end microphone sensors and our algorithm to detect and distinguish between Normal sound and Noise based on that decision Vehicle riders present at that traffic signal will be penalized with extra time to spend on that junction

Author(s):  
Rashi Maheshwari

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.


1997 ◽  
Vol 1997 (1) ◽  
pp. 323-327
Author(s):  
Jonathan A. McSayles ◽  
Isabel E. Caputa ◽  
Peter A. Tennant

ABSTRACT The Organics Detection System (ODS) is a spill detection network cooperatively operated by the Ohio River Valley Water Sanitation Commission (ORSANCO), 11 water utilities, and 3 industries at strategic locations along the Ohio, Allegheny, Monongahela, and Kanawha rivers. The ODS uses purge and trap gas chromatography to analyze for 20 volatile organic compounds (US EPA, 1986). Since its inception in 1977, the network has undergone several advancements in its ability to monitor, analyze, and detect volatile organic compounds in the Ohio River. The present instrumentation used in the network was purchased from 1986 through 1990. The network's capabilities have progressed to the monitoring of raw intake water 24 hours a day, 7 days a week and processing raw data with computers. The most noticeable advance has been in the use of computers to manipulate chromatograms, generate final reports, and transfer information. Additionally, computers and modems have enhanced communication between ORSANCO and ODS locations by accelerating the dissemination of information to downstream water users, allowing the observation of chromatograms and general troubleshooting. New technology under consideration includes the ability to remotely control a gas Chromatograph, incorporate automated check samples, and control alarm settings and the notification of such alarms. The ideal system would run independently until one of two conditions occurred—a compound exceeded the alarm threshold, or there was an instrument malfunction.


Author(s):  
Shraddha D. Warhade

Nowadays noise pollution is a growing problem in modern cities, thanks to rapid population growth, urbanization and new technologies. Moreover, at times, a noisy neighbor or co-worker can drive you crazy and affect your well-being. Talking loudly is an annoying habit in an office environment. Having a loud coworker can distract us from our work and harm our productivity. So to solve this problem, we are building this prototype and named as A Noise Detector With Automatic Recording System. This device notifies users whenever it detects loud noise, as well as it automatically records the sound and saves this recorded sound in a file. This device is connected to our mobile phone via bluetooth when the device detects the sound the Bluetooth app automatically starts recording that sound and save this file in our mobile. This Noise Detector System can be used in library, office and classroom environments to identify noisy people so that necessary action can be taken against them.


2014 ◽  
Vol 17 ◽  
Author(s):  
Leandro L. Di Stasi ◽  
Alberto Megías ◽  
Antonio Cándido ◽  
Antonio Maldonado ◽  
Andrés Catena

AbstractInjury to pedestrians is a major safety hazard in many countries. Since the beginning of the last century, modern cities have been designed around the use of motor vehicles despite the unfavourable interactions between the vehicles and pedestrians. This push towards urbanization resulted in a substantial number of crashes and fatalities involving pedestrians every day, all over the world. Thus, improving the design of urban cities and townships is a pressing issue for modern society. The study presented here provides a characterization of pedestrian safety problems, with the emphasis on signalized crosswalks (i.e. traffic signal) design solutions. We tested the impact of seven different traffic light configurations (steady [green, yellow, and red], flashing [green, yellow, and red], and light off) on pedestrian self-reported road-crossing behavior, using a 11-point scale -ranging from 0 (“I never cross in this situation”) to 10 (“I always cross in this situation”). Results showed that mandatory solutions (steady green vs. steady red) are the best solutions to avoid unsafe pedestrian behaviors while crossing controlled intersections (frequency of crossing: Mgreen = 9.4 ± 1 vs. Mred = 2.6 ± 2). These findings offer important guidelines for the design of future traffic signals for encouraging a pedestrian/transit-friendly environment.


Author(s):  
Randy Penney ◽  
Hugh Flesher

Background: Line break controls developed to date have provided the Pipeline Industry with the best protection available with proven and available technologies. There have been shortcomings in line break control due to various factors including; lack of accurate pressure history at the valve sites creating uncertainty for proper set points and limitations in the flexibility of mechanical systems. Safety: Providing pipeline safety through a line break detection system is critically important for the protection of people, property, and the environment. Safer procedures are available through continuous pipeline monitoring. Application of new technology: Increased availability of “smart” pressure sensors offers a greater degree of accuracy and control. Real time communication for data collection and system configuration (operating data, alarm status and settings, valve status) or remote operation (valve closures or line break override) provides increased control over pipeline operations. Real time information allows continuous monitoring and control. This can be provided through commercially available networks, hence providing economical and reliable methods of communication. Data acquisition through Windows based software allows the user to accumulate, sort, and analyze the data. Overview: Industry requires the ability to monitor pipeline pressures and pipeline rate of pressure change. Industry requires accuracy, reliability, and real time access for controlling valves, while minimizing the occurrences of false valve closures. The pipeline and gas transmission industry is growing, with increasing demands for safe, reliable, and efficient operating systems. New technologies are capable of providing solutions for the Pipeline Industry’s needs. Solutions: A self-contained electronic system, purpose built for the gas pipeline industry is available. The equipment continuously monitors the pipeline, measures pipeline pressures, and calculates pressure changes so that, in the case of a pipeline failure, a command is sent to the actuator to stroke the valve to the fail safe position. The equipment is accessible locally or remotely via SCADA or telemetry to acquire and analyze pipeline conditions on a real time basis, and control the actuator. The equipment is low power consumption suitable for external line power, or is available with solar panels and rechargeable batteries. The equipment continuously gathers information and provides history for pipeline operators. This allows the optimization of set points, with time delays and averaging, to minimize false trips. Windows based software enables ease of use. Owner can set alarm parameters that are protected through password authorization. Summary: Electronic Linebreak Detection Systems are able to provide the flexibility, reliability and responsiveness necessary to meet the growing safety and efficiency demands of the Pipeline Industry. Current technology provides this capability.


Author(s):  
Manpreet Singh Bhatia ◽  
Alok Aggarwal

Traffic congestion is one of the most severe problems especially in metro cities due to ever increasing number of vehicles on roads by 20% per year even with well-planned road management system and sufficient infra. Most of the existing traffic signal controllers use fixed cycle type, giving a constant green/red/yellow phase for each traffic signal cycle. These traditional controllers cannot adapt the dynamics of traffic at real time which a traffic man can do. Deploying traffic men at every traffic light junction is not feasible due to manpower shortage and cost considerations. In this work a three input fuzzy controller is proposed which can adapt the dynamics of real time traffic and reduce the congestion at the traffic light junction. Proposed fuzzy controller has three inputs namely; queue length, arrival rate and peak hours and one output parameter, time extension which is to be controlled by the use of the three input parameters. All four lanes have been allocated a fixed green signal time of 60 seconds at the start. Extension/decrease of the green light is done dynamically with ±28 seconds. Compared to conventional fixed cycle type, proposed approach gives a minimum improvement of 6% and a maximum of 47% depending on various traffic conditions at the junction. In terms of CO2 emission improvement of 20% and 42.12% and in terms of fuel consumption improvement of 34.73% and 57.18% has been observed compared to UCONDES (Urban CONgestion DEtection System) and OVMT (Original Vehicular Mobility Trace) respectively.


2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
S Shah

Abstract Noise pollution in surgical wards negatively influence the wellbeing of patients and healthcare professionals. In addition to disrupting sleep and impairing communication, recognised patient consequences include increased pain, increased re-admission rates and post-ICU psychosis. Ambient white-noise machines, sound-absorbing ceilings and retractable screens are purported as noise pollution reducing strategies (NPRS). These are expensive and impractical. We investigated the capacity of various low resource NPRSs. Noise was measured using “Sound Meter” app at four sites on two identical surgical wards. Ward A and B were designated as study and control ward, respectively. Measurements were taken at three time points (9am, 11am, 3pm) every day during a week. NPRSs were then implemented in ward A and data collection repeated. Prior to intervention there was no difference in noise between ward A and ward B (83dB and 87dB respectively, p > 0.05). After intervention, ward A was significantly quieter than ward B (64dB and 85dB respectively, p < 0.05). Restructuring ward environments presents several challenges. However, low resource interventions can have a positive role in reducing noise pollution. As hospitals become busier with resumption of normal services post-COVID-19, staff should be considerate of noise pollution in order to create an environment conducive to high quality patient care.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Kendall A. Johnson ◽  
Clive H. Bock ◽  
Phillip M. Brannen

Abstract Background Phony peach disease (PPD) is caused by the plant pathogenic bacterium Xylella fastidiosa subsp. multiplex (Xfm). Historically, the disease has caused severe yield loss in Georgia and elsewhere in the southeastern United States, with millions of PPD trees being removed from peach orchards over the last century. The disease remains a production constraint, and management options are few. Limited research has been conducted on PPD since the 1980s, but the advent of new technologies offers the opportunity for new, foundational research to form a basis for informed management of PPD in the U.S. Furthermore, considering the global threat of Xylella to many plant species, preventing import of Xfm to other regions, particularly where peach is grown, should be considered an important phytosanitary endeavor. Main topics We review PPD, its history and impact on peach production, and the eradication efforts that were conducted for 42 years. Additionally, we review the current knowledge of the pathogen, Xfm, and how that knowledge relates to our understanding of the peach—Xylella pathosystem, including the epidemiology of the disease and consideration of the vectors. Methods used to detect the pathogen in peach are discussed, and ramifications of detection in relation to management and control of PPD are considered. Control options for PPD are limited. Our current knowledge of the pathogen diversity and disease epidemiology are described, and based on this, some potential areas for future research are also considered. Conclusion There is a lack of recent foundational research on PPD and the associated strain of Xfm. More research is needed to reduce the impact of this pathogen on peach production in the southeastern U.S., and, should it spread internationally, wherever peaches are grown.


Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1208
Author(s):  
Francisco Alonso ◽  
Mireia Faus ◽  
Cristina Esteban ◽  
Sergio A. Useche

Technological devices are becoming more and more integrated in the management and control of traffic in big cities. The population perceives the benefits provided by these systems, and, therefore, citizens usually have a favorable opinion of them. However, emerging countries, which have fewer available infrastructures, could present a certain lack of trust. The objective of this work is to detect the level of knowledge and predisposition towards the use of new technologies in the transportation field of the Dominican Republic. For this study, the National Survey on Mobility was administered to a sample of Dominican citizens, proportional to the ONE census and to sex, age and province. The knowledge of ITS topics, as well as the use of mobile applications for mobility, are scarce; however, there was a significant increase that can be observed in only one year. Moreover, technology is, in general, positively assessed for what concerns the improvement of the traffic field, even though there is a lack of predisposition to provide one’s personal data, which is necessary for these devices. The process of technological development in the country must be backed up by laws that protect the citizens’ privacy. Thus, technologies that can improve road safety, mobility and sustainability can be implemented in the country.


World ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 171-190
Author(s):  
Diosey Ramon Lugo-Morin

The world is currently experiencing a pandemic: a virus in the family Coronaviridae is causing serious respiratory infections in humans. The outbreak of novel coronavirus disease (COVID-19) was declared a pandemic by the WHO on 11 March 2020. The outbreak began in December 2019 in Wuhan, China, and has since spread throughout the world. Despite measures taken by governments throughout the world to contain and control the spread, economic disruption at the global level is imminent and will affect all economic sectors, particularly the food sector. In a post-pandemic scenario, the use of new technologies will be decisive in a new model of food commercialization. The production and distribution of food will be configured to make supply chains optimal and safe systems. Against this background, the present study aims to explore and analyze the implications of the COVID-19 pandemic for global food security.


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