scholarly journals Analysis of alert message propagation on the highway in VANET assuming Markovian vehicle arrival process

2020 ◽  
Vol 33 (14) ◽  
pp. e4501
Author(s):  
Dhari Ali Mahmood ◽  
Gabor Horvath
Keyword(s):  
Arrival Process ◽  
Alert Message ◽  
Message Propagation

Sender-designated Alert Message Propagation in VANET

2008 ◽  
Author(s):  
Dongyong Kwak ◽  
Sangwoo Lee ◽  
Hyunseo Oh ◽  
Songnan Bai ◽  
Jaeil Jung
Keyword(s):  
Alert Message ◽  
Message Propagation

scholarly journals An Alert Message Propagation Scheme Considering Various Densities in VANET

2014 ◽  
Vol 14 (21) ◽  
pp. 2812-2818
Author(s):  
Soudeh Shadravan ◽  
Hossein Mousa Jafarabadi ◽  
Amid Khatibi
Keyword(s):  
Alert Message ◽  
Message Propagation

Renewal Type Queues with a Complex Arrival Process

2010 ◽  
Vol 42 (8) ◽  
pp. 48-54 ◽  
Author(s):  
Elena V. Koba ◽  
Olga N. Dyshlyuk
Keyword(s):  
Arrival Process

Survey on Safety Devices Using IoT

2020 ◽  
pp. 450-453
Keyword(s):  
Traffic Congestion ◽  
Detection System ◽  
Text Message ◽  
Emergency Situation ◽  
Heart Beat ◽  
Advanced Technology ◽  
Night Time ◽  
Remote Areas ◽  
Alert Message ◽  
Automatic Detection System

Traffic congestion is becoming a huge problem, which is arising due to vehicle failure or accidents. Transportation and use of advanced technology has great importance in society and that has made many of our lives much easier. By automatic accident detection and alerting GSM & GPS based technology can be used to overcome these problems. Where as in case of Child and Women there are very few efficient security and safety measures adopted. Now in India the safety for women has become a major issue while travelling. Nowadays women think twice before taking any steps out of their homes, especially in the night time. Hence, this is unfortunately, the sad reality of our country and also due to various crimes like child abuse, rape, dowry deaths, trafficking and many more. At the time of women facing unsecured situations, there is a need to ensure safety while travelling. Hence automatic detection system needs to be established where one can send alert message to the police station or the relatives which detects the current location of the required ones by use of such technologies the women and children can get protection. Mainly in remote areas children use bicycles as means of transport from several years and nowadays, despite due to the large vailability of new and faster means, the bicycle users is not decreased. Despites the cyclists find difficult to travel within them and other vehicles find difficult to find them during night time. In case of any emergency situation faced at unknown remote areas the cyclist can send their location to required ones to help them. In this paper, report the survey on the existing mechanism for detecting locations, and sending signals and to collect parameters such as temperature of the human body, heart beat etc. using sensors. With the help of GPS and GSM we can track the location of the child, women or vehicle. Hence, by these we can save the life of person’s being injured in various locations by sending a text message using IOT technologies

scholarly journals Evaluation of Cancer Patients with Older Adult for Awareness and Hospital Arrival Process of COVID-19 Pandemic During: A Cross-Sectional Study

2021 ◽  
Vol 7 ◽  
pp. 233372142199766
Author(s):  
Zeynep Sipahi Karslı ◽  
Berna Kurt ◽  
İbrahim Karadağ ◽  
Berna Çakmak Öksüzoğlu
Keyword(s):  
Cancer Patients ◽  
Older Adult ◽  
Cross Sectional Study ◽  
Arrival Process ◽  
Cross Sectional ◽  
Protective Measures ◽  
Hospital Arrival ◽  
Mortality And Morbidity ◽  
Correlational Design ◽  
Study Results

The study aimed to evaluate the Coronavirus pandemic awareness of cancer patients ≥65 years of age, considered a vulnerable group, and their hospital arrival process, follow-ups and treatments during the pandemic. COVID-19 pandemic was found to increases the mortality and morbidity rates of individuals who aged 65 years and older. The research was conducted with a cross-sectional descriptive correlational design. The sample consist of 77 cancer patients aged 65 years and older adult. Participants were recruited through convenience sampling. In total, 77 patients from the Oncology Hospital located in Ankara from April 29, 2020 to May 20, 2020. Data were collected using a two-part form and a questionnaire. The study was undertaken in accordance with the STROBE checklist for observational studies. Of the participants, 59.7% were female, the mean age was 70 years, 79.2% resided in Ankara and 98.7% traveled to the hospital by car. Looking at the gender and the protective measures taken at home, female participants were found to perform a statistically significant higher level of protective measures. In conclusion, the study results suggest that the restrictions for older adult oncology patients during the pandemic did not negatively affect the delivery of health care.

scholarly journals Tail Asymptotics for Monotone-Separable Networks

2007 ◽  
Vol 44 (02) ◽  
pp. 306-320
Author(s):  
Marc Lelarge
Keyword(s):  
Queueing Network ◽  
Network Models ◽  
Moment Generating Function ◽  
Stochastic Petri Nets ◽  
Arrival Process ◽  
Polling Systems ◽  
Tail Asymptotics ◽  
State Variables ◽  
Monotone Functions ◽  
Jackson Networks

A network belongs to the monotone separable class if its state variables are homogeneous and monotone functions of the epochs of the arrival process. This framework contains several classical queueing network models, including generalized Jackson networks, max-plus networks, polling systems, multiserver queues, and various classes of stochastic Petri nets. We use comparison relationships between networks of this class with independent and identically distributed driving sequences and the GI/GI/1/1 queue to obtain the tail asymptotics of the stationary maximal dater under light-tailed assumptions for service times. The exponential rate of decay is given as a function of a logarithmic moment generating function. We exemplify an explicit computation of this rate for the case of queues in tandem under various stochastic assumptions.

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