scholarly journals Older Adults’ Perceptions of Smart City Initiatives to Age in Community

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 560-560
Author(s):  
Jongwoong Kim
Keyword(s):  
Smart City ◽  
Contact Tracing ◽  
Older Americans ◽  
Representative Sampling ◽  
Northeast Region ◽  
Traffic System ◽  
Suburban Communities ◽  
Community Environments ◽  
And Gender ◽  
Smart Traffic

Abstract This project explores older American adults’ perceptions of smart city initiatives for them to “age in community” particularly in the northeast region. As the U.S. population is aging, it is imperative that the American cities can support their citizens to live in their preferred community environments for as long as they want. While there are many definitions of a smart city, some exemplary smarty city initiatives can be characterized as actively utilizing information and sensor technologies to promote efficiency and sustainability of city-wide systems, ultimately enhancing the quality of citizens' life. This project examines, in particular, seven smart city initiatives that are implemented globally: smart streetlights, health and fall monitoring system, community ridesharing, enhanced CCTVs, “age-friendly map,” contact tracing app, and smart traffic system. By surveying those age 55 and older, with a representative sampling from the nine states in the northeast region, this project found that the vast majority of older Americans in this region would prefer to age in rural and suburban communities, and depending on where they prefer to age in (rural-exurban-suburban communities vs. urban-urban center communities) and gender (female vs. male), they perceive particular sets of smart city initiatives as more important for them to age in community. Furthermore, regardless of the community/location preference and demographic (gender, income level, and age) differences, 40% of the respondents expressed no concern of data or information privacy issues from these initiatives, opening some doors for the municipalities that plan to adopt some of these initiatives in the near future.

scholarly journals Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

2020 ◽  
Vol 10 (8) ◽  
pp. 2880
Author(s):  
Bo Kyung Park ◽  
Geon-Hee Kang ◽  
Hyun Seung Son ◽  
Byungkook Jeon ◽  
R. Young Chul Kim
Keyword(s):  
Traffic Control ◽  
Smart City ◽  
Object Oriented ◽  
Cyber Physical System ◽  
Safety Issues ◽  
Traffic System ◽  
Accurate Performance ◽  
Code Complexity ◽  
Smart Traffic ◽  
Java Code

In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance; otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code’s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined performances through effective code visualization. As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance. With this approach, we expect to obtain an accurate performance and complexity improvement of the object-oriented traffic control simulator without significant power consumption.

scholarly journals Performance of Children in Phonemic and Semantic Verbal Fluency Tasks

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 293-304 ◽  
Author(s):  
Gilmara de Lucena Leite ◽  
Izabel Augusta Hazin Pires ◽  
Laura Carolina Lemos Aragão ◽  
Artemis Paiva de Paula ◽  
Ediana Rossely de Oliveira Gomes ◽  
...  
Keyword(s):  
Explicit Memory ◽  
Verbal Fluency ◽  
Age Groups ◽  
Memory Systems ◽  
Semantic Fluency ◽  
Age And Gender ◽  
Northeast Region ◽  
Semantic Verbal Fluency ◽  
And Gender ◽  
Brazilian Northeast

Abstract This study investigated the performance of children from the Brazilian Northeast region, from 7 to 10 years in phonemic and semantic verbal fluency tasks. The participants were 102 subjects (62 girls and 40 boys) who performed three phonemic and three semantic fluency tasks. The results were submitted to correlational and variance analysis to investigate the influence of the variables age and gender on the subjects performance. There was no effect of gender on the results. Significant contrasts between age groups were found, and better performance was observed on phonemic tasks. Also, the performance in this task changed along development, in contrast to what happened with the semantic fluency. The findings seem to be in accordance to neurodevelopmental aspects, taken into account that explicit memory systems show more precocious maturational course, with earlier consolidation, in comparison to the executive functions and frontal lobes, which go on developing until adult ages.

scholarly journals GSM And IoT Based Smart Traffic System With Geofencing

10.31645/16 ◽  
2020 ◽  
Author(s):  
Muhammad Fahees Ghouri ◽  
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Location Based Services ◽  
Daily Routine ◽  
Emergency Vehicle ◽  
Traffic System ◽  
The Road ◽  
The World ◽  
Cloud Computation ◽  
Smart Traffic

Abstract— This project is aimed at resolving severe traffic congestion in most cities across the world by using latest technologies. The world is heading towards IoT and shifting daily routine manual processes to automatic systems. Current traffic control system is based on fixed timer which becomes one of the main reasons of transport blockage. In order to overcome this problem, a framework has been designed to introduce the concept of smart traffic system which includes Internet of Things. The road side sensors attached to the Arduino Mega send information to the cloud using NodeMCU where decision is taken based on density, hence involving cloud computation to turn a particular signal green. Moreover, we have also dealt with emergency vehicles which bears the facility of turning signal green using either RFID system or GSM based mobile. Sound sensors are placed to confirm that the signal return to normal condition once the emergency vehicle has crossed the signal. Lastly, a geofencing based marketing app called “Brando” has been designed using android studio to provide location-based services from the nearest stations like shopping malls to the people on road on their respective mobile phones.

scholarly journals Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm

2017 ◽  
Vol 2 (1) ◽  
pp. 27-30
Author(s):  
Hozan Khalid Hamarashid ◽  
Miran Hama Rahim Saeed ◽  
Soran Saeed
Keyword(s):  
Traffic Congestion ◽  
Fixed Time ◽  
Traffic Load ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
Traffic System ◽  
Light System ◽  
Smart Traffic ◽  
Fixed System

Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses on the existing system (fixed system), then propose the adaptive one. The main crucial side effects of the existing system are:   Emergency cases: congested traffics might block the way of emergencies for instance ambulance, which transports people to the hospital Wasting time of people generally and specially Delays, which lead people to not to be punctual, this means people arrive late to the work  Wasting more fuels as staying more in the traffics, which affects the environment by increasing pollution.

scholarly journals Proposed Algorithm for Smart Traffic Control using Ultrasonic Sensors

2019 ◽  
Vol 8 (6) ◽  
pp. 3912-3915
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart City ◽  
Data Analytics ◽  
Traffic Density ◽  
Signal Timing ◽  
Technical Solution ◽  
Ultrasonic Sensors ◽  
Traffic Control System ◽  
Smart Traffic

In India, the concept of smart city has evolved since last few years. Smart city includes smart electricity distributions, smart parking, smart lighting on streets, smart water distribution, smart drainage system, smart pipe gas system, smart traffic control system etc. All smart systems listed need smart use of technical solution so that all systems will play critical role in making city as smart. As far as smart traffic control is concerned, there were few solutions suggested and implanted such as sensor with CCTV, camera with IR sensor and tags etc. The technical solution may include software, hardware, communication models, networking, usage of data and of-course data analytics. As large amount of data may be generated by the objects/components involved in the system, it must be analyzed properly. The data may be in structured or un-structured format. In this paper, smart traffic control system with efficient algorithm has been proposed with data analytics to control traffic, which controls the timing of the signal dynamically. At a junction, there is need to control the traffic and signal timing such that air and noise pollution also will be monitored and controlled. In this model, IoT system has been proposed with ultrasonic sensors to control the traffic. The signal timing will be dynamically monitored and adjusted with traffic density within a region. This will give solution to control, monitor the traffic at every signal in a city

scholarly journals SARS-CoV-2 epidemic in India: epidemiological features and in silico analysis of the effect of interventions

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 315 ◽  
Author(s):  
Archisman Mazumder ◽  
Mehak Arora ◽  
Vishwesh Bharadiya ◽  
Parul Berry ◽  
Mudit Agarwal ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Contact Tracing ◽  
Contact Rate ◽  
Case Scenario ◽  
Cross Sectional ◽  
Worst Case ◽  
Current Contact ◽  
The Government ◽  
And Gender

Background: After SARS-CoV-2 set foot in India, the Government took a number of steps to limit the spread of the virus in the country. This included restricted testing, isolation, contact tracing and quarantine, and enforcement of a nation-wide lockdown starting 25 March 2020. The objectives of this study were to i) describe the age,gender distribution and mortality among COVID-19 patients identified till 14 April 2020 and predict the range of contact rate; and ii) predict the number of active COVID-19 patients after 40 days of lockdown. Methods: We used a cross-sectional descriptive design for first objective and a susceptible-infected-removed model for in silico predictions. We collected data from government-controlled and crowdsourced websites. Results: Studying age and gender parameters of 1161 Indian COVID-19 patients, the median age was 38 years (IQR, 27-52) with 20-39 year-old males being the most affected group. The number of affected patients were 854 (73.6%) men and 307 (26.4%) women. If the current contact rate continues (0.25-27), India may have 110460 to 220575 infected persons at the end of 40 days lockdown. Conclusion: The disease is majorly affecting a younger age group in India. Interventions have been helpful in preventing the worst-case scenario in India, but will be unable to prevent the spike in number of cases.

Biosocial Predictors of Older Americans' Political Participation

1987 ◽  
Vol 5 (2) ◽  
pp. 246-251 ◽  
Author(s):  
Steven A. Peterson
Keyword(s):  
Voter Turnout ◽  
The Elderly ◽  
The Political ◽  
Emotional Instability ◽  
Older Americans ◽  
Political Effects ◽  
Political Orientations ◽  
And Gender ◽  
Effects Of Aging ◽  
And Behavior

One consequence of aging is diminished physical powers. In some cases, mental capabilities deteriorate, with concomitant rigidity of thought, impairment of intellect, emotional instability, and denial of disability (e.g., Post, 1980). Some have speculated that biological factors may have an effect on the political behavior of the elderly (see, e.g., G. Schubert, 1983). Campbell, Converse, Miller, and Stokes (1960:262) note that decline of voter turnout with age is “… undoubtedly due to infirmities that make trips to the polling place more difficult.” Hudson and Binstock (1976:370) suggest that lowered participation “… may be interpreted in terms of physical declines….” Light (1981:2343) hypothesizes that “Health and mobility problems apparently prevent the elderly from topping the middle-aged in turnout.” On the other hand, Wolfinger and Rosenstone (1980) find that with the introduction of controls for length of residence, income, education, and gender, the political effects of aging seem to disappear. However, no direct tests of the physical effects of aging upon the political orientations and behavior of the aged have appeared.

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