scholarly journals Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve

2020 ◽  
Vol 17 (10) ◽  
pp. 3437 ◽  
Author(s):  
Murat Simsek ◽  
Burak Kantarci
Keyword(s):  
Artificial Intelligence ◽  
Worst Case Analysis ◽  
Assessment Centers ◽  
Mobility Patterns ◽  
Worst Case ◽  
Mobile Crowdsensing ◽  
Using Data ◽  
Effective Assessment ◽  
The City

The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunization, it is vital to have a thorough understanding of community spread phenomena as related research reports 17.9–30.8% confirmed cases to remain asymptomatic. Therefore, an effective assessment strategy is vital to maximize tested population in a short amount of time. This article proposes an Artificial Intelligence (AI)-driven mobilization strategy for mobile assessment agents for epidemics/pandemics. To this end, a self-organizing feature map (SOFM) is trained by using data acquired from past mobile crowdsensing (MCS) campaigns to model mobility patterns of individuals in multiple districts of a city so to maximize the assessed population with minimum agents in the shortest possible time. Through simulation results for a real street map on a mobile crowdsensing simulator and considering the worst case analysis, it is shown that on the 15th day following the first confirmed case in the city under the risk of community spread, AI-enabled mobilization of assessment centers can reduce the unassessed population size down to one fourth of the unassessed population under the case when assessment agents are randomly deployed over the entire city.

scholarly journals Artificial Intelligence (AI) techniques to analyze the determinants attributes in housing prices

2016 ◽  
Vol 19 (58) ◽  
pp. 23 ◽  
Author(s):  
Julia M. Núñez Tabale ◽  
Francisco J. Rey Carmona ◽  
José Mª Caridad y Ocerin
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Explanatory Variable ◽  
Housing Prices ◽  
Good Alternative ◽  
Marginal Prices ◽  
Using Data ◽  
Econometric Approach ◽  
Hedonic Approach

The econometric approach to obtain the value of a property began with hedonic modelling, which were based on a set of property attributes, internal or external, associated to each particular dwelling. The final sale value can be estimated, and also the marginal prices of each exogenous explanatory variable. A good alternative to the hedonic approach is based on several Artificial Intelligence (AI) techniques, such as artificial neural networks (ANN), these tend to be more precise. Both methodologies are compared, and a case study is developed using data from Seville, the larger town in the South of Spain.

scholarly journals An Evaluation of the Living Wage: Identifying Pathways Out of In-Work Poverty

2017 ◽  
Vol 17 (3) ◽  
pp. 379-392 ◽  
Author(s):  
Jo Swaffield ◽  
Carolyn Snell ◽  
Becky Tunstall ◽  
Jonathan Bradshaw
Keyword(s):  
Important Determinant ◽  
Qualitative Interviews ◽  
Living Standards ◽  
Sample Survey ◽  
Living Wage ◽  
Wage Rates ◽  
The Hours ◽  
Using Data ◽  
The City

This article reports the results of a case study on the introduction of the living wage. Three employers in the City of York became living wage employers. Using data derived from a sample survey of their employees and qualitative interviews, this article explores what impact the receipt of the living wage had on poverty and deprivation. It found that not all living wage employees were income poor or deprived, although those on living wage rates were more likely to be poor and deprived than those on even higher wages. The more important determinant of the employees’ living standards was the household they lived in, and there were a high proportion of living wage employees living in multi-unit households. Also important were the number of earners in the household and the hours worked by the living wage employee. Lone parent families and single people appeared to be most vulnerable to poverty and deprivation. In addition, whether the employee took up their entitlement to in-work benefits was critical and, using benefit checks by welfare rights experts, it was found that some were not.

DESIGN AND ANALYSIS OF AN EFFICIENT RECURSIVE LINKING ALGORITHM FOR CONSTRUCTING LIKELIHOOD BASED GENETIC MAPS FOR A LARGE NUMBER OF MARKERS

2007 ◽  
Vol 05 (02a) ◽  
pp. 201-250 ◽  
Author(s):  
S. TEWARI ◽  
S. M. BHANDARKAR ◽  
J. ARNOLD
Keyword(s):  
Genetic Markers ◽  
Time Complexity ◽  
Recursive Algorithm ◽  
Genetic Maps ◽  
Fungal Genome ◽  
Worst Case Analysis ◽  
Worst Case ◽  
Computation Process ◽  
Genetic Interval ◽  
Using Data

A multi-locus likelihood of a genetic map is computed based on a mathematical model of chromatid exchange in meiosis that accounts for any type of bivalent configuration in a genetic interval in any specified order of genetic markers. The computational problem is to calculate the likelihood (L) and maximize L by choosing an ordering of genetic markers on the map and the recombination distances between markers. This maximum likelihood estimate (MLE) could be found either with a straightforward algorithm or with the proposed recursive linking algorithm that implements the likelihood computation process involving an iterative procedure is called Expectation Maximization (EM). The time complexity of the straightforward algorithm is exponential without bound in the number of genetic markers, and implementation of the model with a straightforward algorithm for more than seven genetic markers is not feasible, thus motivating the critical importance of the proposed recursive linking algorithm. The recursive linking algorithm decomposes the pool of genetic markers into segments and renders the model implementable for hundreds of genetic markers. The recursive algorithm is shown to reduce the order of time complexity from exponential to linear in the number of markers. The improvement in time complexity is shown theoretically by a worst-case analysis of the algorithm and supported by run time results using data on linkage group-II of the fungal genome Neurospora crassa.

scholarly journals Digital Community Social Capital (Case Study on Increasing the Popularity of Millennial Youtubers in Makassar City)

2021 ◽  
Vol 2 (2) ◽  
pp. 70-80
Author(s):  
Andry Wijaya ◽  
Suparman Abdullah ◽  
Rahmad Muhammad
Keyword(s):  
Social Capital ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Digital Community ◽  
Internet Media ◽  
The Social ◽  
Using Data ◽  
The Cost ◽  
The City

One of the global developments that is fast and has quite an impact on the pattern of people's lives is developments in the field of technology and information, namely through the internet. YouTube has become an internet media that is in demand by various audiences around the world. Disbursing youtube adsense is fairly complicated, but the work as a youtuber is currently in great demand by Millennials. Youtuber is a new job that is synonymous with Millennials in this 4.0 industrial era. This study aims to determine the use of social capital trust by youtubers in increasing popularity, as well as to determine the use of social capital linking youtubers in increasing popularity. This study uses a qualitative approach, with informants namely millennial youtubers who live in the city of Makassar. Data collection techniques through observation, interviews and documentation, with data analysis techniques using: data reduction, data presentation and drawing conclusions and verification. The results of the study show that trust social capital is widely used by youtubers to increase their popularity, in this case increasing the number of subscribers and viewers on their youtube channel. Many YouTubers use social capital linking or networks to increase the number of subscribers and viewers. The social capital of the network used is by utilizing the friendship and community of YouTubers in the process of designing content, taking videos, editing to uploading videos and socializing YouTube channels in order to minimize the cost of managing YouTube channels for YouTubers

scholarly journals MIGRATION PATTERN OF YOUNG PEOPLE IN RURAL (Case Study of young people in Ciasmara Village, Pamijahan District Bogor Regency)

2019 ◽  
Vol 3 (1) ◽  
pp. 11-14
Author(s):  
Roni Jayawinangun ◽  
Muslim .
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Descriptive Analysis ◽  
Average Score ◽  
Mobility Patterns ◽  
Job Opportunities ◽  
Household Members ◽  
The Village ◽  
The City

Low natural resources that support the economy and the inability of people in access is one factor that makes many villagers unable to accumulate capital. Mobilization out of the village is the most logical step taken by villagers to keep them alive. The existence of job opportunities elsewhere and the condition of the village that is no longer conducive will affect the mobility patterns of household members in the village. This research aimed:1) Identify portraits of young villagers on the potential of Ciasmara Village Resources; 2) Identify the driving factors that make young people in rural areas migrate to the city. Quantitative method was used to processed the data using descriptive analysis to know the characteristics of respondents the data processed using the average score is the perception of youth against the village resources and the factors driving and pulling migration. This research found thatPortrait of young people towards Ciasmara Village Resources is generally considered good. In general the attraction of the City is greater than the appeal of the Village. There are four indicators of towing power of the City that is high salaries, the number of job options, the opening of vacancies and work more than one.

scholarly journals Implementasi Penilaian Autentik Kurikulum 2013 pada Rapor Online di SMK Negeri 6 Malang

2016 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Galih Sudiyanto ◽  
Eddy Sutadji ◽  
Eddy Rudiyanto
Keyword(s):  
Authentic Assessment ◽  
Research Findings ◽  
Using Data ◽  
The City

One factor that is considered difficult to implement by teacher in the 2013 Curriculum is authentic assessment. However, this can be overcome with an online report that was initiated by Dispendik for all schools in the city of Surabaya. The study aims to see the implementation of authentic assessment in the 2013 Curriculum at a school that have implemented online report in Malang, namely SMK Negeri 6 Malang. The method used was a case study using questionnaires, interviews and documentation. The validity of research findings was examined using data triangulation technique. The respondents were productive teachers who teach automotive skills in the same class so that there is a correlation between the data obtained from the teachers and the students. The result shows that the implementation of authentic assessment in the 2013 Curriculum at SMK Negeri 6 Malang is in good category and teachers were greatly assisted by the online report.-------------------------------------------------------------------------------------Salah satu faktor yang sulit untuk dilaksanakan oleh guru dalam Kurikulum 2013 adalah penilaian autentik. Penelitian ini bertujuan untuk melihat penerapan penilaian autentik Kurikulum 2013 pada sekolah yang sudah menerapkan rapor online di Kota Malang. Rancangan penelitian ini menggunakan deskriptif kualitatif dengan pendekatan studi kasus yang dilaksanakan di SMK Negeri 6 Malang. Metode pengumpulan data menggunakan instrumen angket, wawancara dan dokumentasi. Pengecekan keabsahan temuan penelitian menggunakan teknik trianggulasi data. Responden adalah guru produktif keahlian Otomotif yang mengajar pada kelas yang sama sehingga ada korelasi antara data yang didapat dari guru dan siswa. Hasil penelitian menunjukkan bahwa: (1) Pemahaman guru SMK Negeri 6 Malang terhadap penilaian autentik Kurikulum 2013 sangat baik sebesar 90%, (2) Pelaksanaan penilaian autentik Kurikulum 2013 oleh guru SMK Negeri 6 Malang sudah baik sebesar 70, (3) Manajemen rapor online oleh  Tim  IT  sudah  baik  dalam  memudahkan  pelaksanakan penilaian autentik Kurikulum 2013 di SMK Negeri 6 Malang sebesar 80%.

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil)

2021 ◽  
Vol 24 (3) ◽  
Author(s):  
Leila Abuabara ◽  
Maria Gabriela Valeriano ◽  
Carlos Roberto Veiga Kiffer ◽  
Horácio Hideki Yanasse ◽  
Ana Carolina Lorena
Keyword(s):  
Machine Learning ◽  
Population Characteristics ◽  
Machine Learning Techniques ◽  
System Planning ◽  
Health System Planning ◽  
Learning Techniques ◽  
Using Data ◽  
The City ◽  
Support Decision Making

Many efforts were made by the scientific community during the Covid-19 pandemic to understand the disease and better manage health systems' resources. Believing that city and population characteristics influence how the disease spreads and develops, we used Machine Learning techniques to provide insights to support decision-making in the city of São José dos Campos (SP), Brazil. Using a database with information from people who undergo the Covid-19 test in this city, we generate and evaluate predictive models related to severity, need for hospitalization and period of hospitalization. Additionally, we used the SHAP value for models' interpretation of the most decisive attributes influencing the predictions. We can conclude that patient age linked to symptoms such as saturation and respiratory distress and comorbidities such as cardiovascular disease and diabetes are the most important factors to consider when one wants to predict severity and need for hospitalization in this city. We also stress the need of a greater attention to the proper collection of this information from citizens who undergo the Covid-19 diagnosis test.

scholarly journals Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
Claudio Gariazzo ◽  
Armando Pelliccioni ◽  
Maria Paola Bogliolo
Keyword(s):  
Mobile Phone ◽  
Census Data ◽  
Demographic Data ◽  
Driving Mechanism ◽  
Urban Mobility ◽  
Mobility Patterns ◽  
Time Pattern ◽  
Driving Mechanisms ◽  
The City

Urban mobility is known to have a relevant impact on work related car accidents especially during commuting. It is characterized by highly dynamic spatial–temporal variability. There are open questions about the size of this phenomenon; its spatial, temporal, and demographic characteristics; and driving mechanisms. A case study is here presented for the city of Rome, Italy. High-resolution population presence and demographic data, derived from mobile phone traffic, were used. Hourly profiles of a defined mobility factor (NPM) were calculated for a gridded domain during working days and cluster analyzed to obtain mean diurnal NPM mobility patterns. Age distributions of the population were calculated from demographic data to get insight in the type of population involved in mobility, and spatially linked with the mobility patterns. Census data about production units and their employees were related with the classified NPM mobility patterns. Seven different NPM mobility patterns were identified and mapped over the study area. The mobility slightly deviates from the census-based demography (0.15 on average, in a range of 0 to 1). The number of employees per 100 inhabitants was found to be the main driving mechanism of mobility. Finally, contributions of people employed in different economic macrocategories were assigned to each mobility time-pattern. Results provide a deeper knowledge of urban dynamics and their driving mechanisms in Rome.

Sign in / Sign up

Export Citation Format

Share Document