Variation of Ba concentrations in some plants grown in Pakistan depending on traffic density

2022 ◽  
Author(s):  
Mehmet Cetin ◽  
Asma Asghar Jawed
Keyword(s):  
Traffic Density

Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach

2020 ◽  
Vol 39 (6) ◽  
pp. 8125-8137
Author(s):  
Jackson J Christy ◽  
D Rekha ◽  
V Vijayakumar ◽  
Glaucio H.S. Carvalho
Keyword(s):  
Intelligent Transportation System ◽  
Search Algorithm ◽  
Mac Protocol ◽  
High Mobility ◽  
Optimal Solution ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Traffic Density ◽  
Scheduling Problem ◽  
Broadcast Scheduling

Vehicular Adhoc Networks (VANET) are thought-about as a mainstay in Intelligent Transportation System (ITS). For an efficient vehicular Adhoc network, broadcasting i.e. sharing a safety related message across all vehicles and infrastructure throughout the network is pivotal. Hence an efficient TDMA based MAC protocol for VANETs would serve the purpose of broadcast scheduling. At the same time, high mobility, influential traffic density, and an altering network topology makes it strenuous to form an efficient broadcast schedule. In this paper an evolutionary approach has been chosen to solve the broadcast scheduling problem in VANETs. The paper focusses on identifying an optimal solution with minimal TDMA frames and increased transmissions. These two parameters are the converging factor for the evolutionary algorithms employed. The proposed approach uses an Adaptive Discrete Firefly Algorithm (ADFA) for solving the Broadcast Scheduling Problem (BSP). The results are compared with traditional evolutionary approaches such as Genetic Algorithm and Cuckoo search algorithm. A mathematical analysis to find the probability of achieving a time slot is done using Markov Chain analysis.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Adaptive Traffic Density Management System

2018 ◽  
Vol 06 (03) ◽  
pp. 173-176
Author(s):  
A Keerthi Infanta Francy ◽  
S Visalachi ◽  
R Deepa
Keyword(s):  
Management System ◽  
Traffic Density

Pollution retention capabilities of roadside soils

1999 ◽  
Vol 39 (2) ◽  
pp. 201-208 ◽  
Author(s):  
C. Dierkes ◽  
W. F. Geiger
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Drinking Water ◽  
Groundwater Recharge ◽  
Drinking Water Quality ◽  
Traffic Density ◽  
Roadside Soils ◽  
Highway Runoff ◽  
Lead And Cadmium ◽  
Lead Zinc

Runoff from highways contains significant loads of heavy metals and hydrocarbons. According to German regulations, it should be infiltrated over embankments to support groundwater-recharge. To investigate the decontaminating effect of greened embankments, soil-monoliths from highways with high traffic densities were taken. Soils were analyzed to characterize the contamination in relation to distance and depth for lead, zinc, copper, cadmium, PAH and MOTH. Lysimeters were charged in the field and laboratory with highway runoff to study the effluents under defined conditions. Concentrations of pollutants in roadside soils depend on the age of embankments and traffic density. Highest concentrations were found in the upper 5 cm of the soil and within a distance of up to two metres from the street. Concentrations of most pollutants decreased rapidly with depth and distance. Lead and cadmium could not be detected in lysimeter effluent. Zinc and copper were found in concentrations that did not exceed drinking water quality limits.

Effects of Individual Differences, Attention, and Memory Deficits on Driver Distraction

2020 ◽  
Vol 64 (1) ◽  
pp. 1196-1201
Author(s):  
Alejandro A. Arca ◽  
Kaitlin M. Stanford ◽  
Mustapha Mouloua
Keyword(s):  
Individual Differences ◽  
Driving Simulator ◽  
Memory Deficits ◽  
Driving Performance ◽  
Driver Distraction ◽  
Phone Call ◽  
Traffic Density ◽  
Attention And Memory ◽  
Adhd Diagnosis ◽  
Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

Greenness and the Potential Resilience to Sexual Violence: “Your Neighborhood Is Being Neglected Because People Don’t Care. People With Power Don’t Care”

2021 ◽  
pp. 088626052110280
Author(s):  
Gibran C. Mancus ◽  
Andrea N. Cimino ◽  
Md Zabir Hasan ◽  
Jacquelyn C. Campbell ◽  
Phyllis Sharps ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Violent Crime ◽  
Green Space ◽  
A Priori ◽  
Community Resilience ◽  
The United States ◽  
Green Spaces ◽  
Traffic Density ◽  
Black Communities ◽  
Black Neighborhoods

There is increasing evidence that green space in communities reduces the risk of aggression and violence, and increases wellbeing. Positive associations between green space and resilience have been found among children, older adults and university students in the United States, China and Bulgaria. Little is known about these associations among predominately Black communities with structural disadvantage. This study explored the potential community resilience in predominately Black neighborhoods with elevated violent crime and different amounts of green space. This embedded mixed-methods study started with quantitative analysis of women who self-identified as “Black and/or African American.” We found inequality in environments, including the amount of green space, traffic density, vacant property, and violent crime. This led to 10 indepth interviews representing communities with elevated crime and different amounts of green space. Emergent coding of the first 3 interviews, a subset of the 98 in the quantitative analysis, led to a priori coding of barriers and facilitators to potential green space supported community resilience applied to the final 7 interview data. Barriers were a combination of the physical and social environment, including traffic patterns, vacant property, and crime. Facilitators included subjective qualities of green space. Green spaces drew people in through community building and promoting feelings of calmness. The transformation of vacant lots into green spaces by community members affords space for people to come together and build community. Green spaces, a modifiable factor, may serve to increase community resilience and decrease the risk of violence.

scholarly journals Air Pollution, Neonatal Immune Responses, and Potential Joint Effects of Maternal Depression

2021 ◽  
Vol 18 (10) ◽  
pp. 5062
Author(s):  
Jill Hahn ◽  
Diane R. Gold ◽  
Brent A. Coull ◽  
Marie C. McCormick ◽  
Patricia W. Finn ◽  
...  
Keyword(s):  
Air Pollution ◽  
Immune Responses ◽  
Cord Blood ◽  
Maternal Depression ◽  
Mononuclear Cells ◽  
Fine Particulate Matter ◽  
Depression Scale ◽  
Traffic Density ◽  
Tobit Regression ◽  
Adverse Health Effects

Prenatal maternal exposure to air pollution may cause adverse health effects in offspring, potentially through altered immune responses. Maternal psychosocial distress can also alter immune function and may increase gestational vulnerability to air pollution exposure. We investigated whether prenatal exposure to air pollution is associated with altered immune responses in cord blood mononuclear cells (CBMCs) and potential modification by maternal depression in 463 women recruited in early pregnancy (1999–2001) into the Project Viva longitudinal cohort. We estimated black carbon (BC), fine particulate matter (PM2.5), residential proximity to major roadways, and near-residence traffic density, averaged over pregnancy. Women reported depressive symptoms in mid-pregnancy (Edinburgh Postnatal Depression Scale) and depression history by questionnaire. Immune responses were assayed by concentrations of three cytokines (IL-6, IL-10, and TNF-α), in unstimulated or stimulated (phytohemagglutinin (PHA), cockroach extract (Bla g 2), house dust mite extract (Der f 1)) CBMCs. Using multivariable linear or Tobit regression analyses, we found that CBMCs production of IL-6, TNF-a, and IL-10 were all lower in mothers exposed to higher levels of PM2.5 during pregnancy. A suggestive but not statistically significant pattern of lower cord blood cytokine concentrations from ever (versus never) depressed women exposed to PM2.5, BC, or traffic was also observed and warrants further study.

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