Analysis of the application of information technology in the management of rural population return based on the era of big data

2022 ◽  
Vol 34 (3) ◽  
pp. 0-0

Based on rural population return management, governance theory, and information technology theory, this paper analyzes the specific performance of rural areas in managing population return, and describes the overview, quantity, life status, and demographic characteristics of rural population return, as well as the current situation of rural population return management. A method of managing rural population return based on a rural population return management model constructed by a machine learning algorithm is designed. The empirical results show that the method designed in this paper is low-cost, fast, and highly accurate, and is well suited for improving and expanding the system for managing rural return flows. The research in this paper provides a reference for further promoting the transformation strategy of rural governance in the context of new urbanization.

2019 ◽  
Vol 2019 (4) ◽  
pp. 72-81
Author(s):  
Mariya MAKHSMA ◽  
◽  
Volodymyr GAVRYLOV ◽  
Sergii VOLOSHCHUK ◽  
◽  
...  

The article presents the results of the questionnaire of the rural population regarding its satisfaction with employment. The relevance of this study is due to a sharp reduction of jobs in the agrarian sector and the need to find non-standard, innovative forms of rural employment to provide peasants with work in the place of residence. The purpose of the article is to publish the results of the survey of villagers regarding their perception of distance employment and the substantiation of proposals for its development in rural areas. The questionnaire covered 622 villagers from 22 regions of Ukraine. The survey revealed that only a third of the residents have a permanent job in their village, of which almost 40% are engaged in agriculture. The overwhelming majority of respondents are dissatisfied with their employment. Among the reasons for dissatisfaction, almost half of respondents called low wages. More than a third of the peasants complained about the harsh working conditions. Regarding the ways to improve their employment, more than a quarter of the rural residents surveyed expressed their desire to go abroad for work, and every fourth peasant sees improvement in his employment in finding a job in the city. It was also found that one third of peasants are interested in distance employment and ready to master information technology. Based on the survey conducted, the preconditions for the development of distance employment in rural areas are identified, namely: development of rural information and communication infrastructure; popularization of distant employment among peasants; organizing and conducting computer literacy courses in villages and the like. The development of distance employment will contribute to raising the income level of the rural population.


2017 ◽  
Vol 14 (1) ◽  
pp. 174-181
Author(s):  
Maura Mbunyuza-deHeer Menlah

This article reports on a proposed evaluation plan that has been developed to assess the work done by the State Information Technology Agency (SITA). The SITA programme was implemented in response to the South African government’s call to improve the lives of the populations in some rural areas through technology. The programme was meant to address slow development in  rural  areas  that  lack  technological  innovations  and  advances.  In  the proposed evaluation plan a review is made of secondary data, deciding how strategic priorities are to be determined, as well as analysis of the rural context environment. The researcher gives an account of how the evaluation strategies are to be piloted and rolled out thereafter. Lessons learnt are recorded and reported upon. A proposed evaluation plan will be developed, based on the lessons learnt in line with the objectives of the project.


Author(s):  
Yuliya M. Beglyakova ◽  
◽  
Aleksander S. Shchirskii ◽  

The article analyses the accessibility of medical facilities in rural areas of modern Russia and the specifics of their organization and development. The authors reveal causes why rural residents have much less opportunities to seek quality medical care than urban ones, what leads to a disparity between the inhabitants of the city and the village. The thesis is substantiated that state programmes that should make health services accessible to the rural population to a greater extent do not cope with the task at hand. An attempt is made to highlight the public’s response to the existing disparity in the health services of the villagers compared to urban dwellers. Such a reaction can be considered an outflow of people from rural areas, and an increase in self-medication among rural people as a result of the difficulty in obtaining health services. The decrease in the number of treatment facilities in rural areas leads to a deterioration in the medicine situation in rural areas. That, according to the authors of the article, justifies the need to study the issues associated with the provision of medical care to the rural population.


Author(s):  
N.N. Balashova ◽  
◽  
D.A. Korobeynikov ◽  
S.A. Popova ◽  
◽  
...  

Typologization of rural areas, taking into account differences in population density and level of socio-economic development, is necessary to identify “growth points” and strategic sustainability benchmarks. The method of integrated assessment of the level of socio-economic development of rural territories is proposed, according to which the grouping of Russian regions is carried out. Applying data on rural population density to the results of calculations allowed us to identify 12 typological groups, in the context of which unified recommendations on sustainable development of territories should be formed.


2020 ◽  
Author(s):  
Merel van der Stelt ◽  
Martin P. Grobusch ◽  
Abdul R. Koroma ◽  
Marco Papenburg ◽  
Ismaila Kebbie ◽  
...  

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110248
Author(s):  
Miaoyu Li ◽  
Zhuohan Jiang ◽  
Yutong Liu ◽  
Shuheng Chen ◽  
Marcin Wozniak ◽  
...  

Physical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students and workers. Existing video-based approaches and sensor-based approaches can achieve high accuracy, while they have limitations like breaching privacy and relying on specific sensor devices. In this work, we propose Sitsen, a non-contact wireless-based sitting posture recognition system, just using radio frequency signals alone, which neither compromises the privacy nor requires using various specific sensors. We demonstrate that Sitsen can successfully recognize five habitual sitting postures with just one lightweight and low-cost radio frequency identification tag. The intuition is that different postures induce different phase variations. Due to the received phase readings are corrupted by the environmental noise and hardware imperfection, we employ series of signal processing schemes to obtain clean phase readings. Using the sliding window approach to extract effective features of the measured phase sequences and employing an appropriate machine learning algorithm, Sitsen can achieve robust and high performance. Extensive experiments are conducted in an office with 10 volunteers. The result shows that our system can recognize different sitting postures with an average accuracy of 97.02%.


2020 ◽  
pp. 002073142098374
Author(s):  
Ashutosh Pandey ◽  
Nitin Kishore Saxena

The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.


2021 ◽  
Vol 13 (5) ◽  
pp. 128
Author(s):  
Jun Liu ◽  
Xiaohui Lian ◽  
Chang Liu

In Space–Air–Ground Integrated Networks (SAGIN), computation offloading technology is a new way to improve the processing efficiency of node tasks and improve the limitation of computing storage resources. To solve the problem of large delay and energy consumption cost of task computation offloading, which caused by the complex and variable network offloading environment and a large amount of offloading tasks, a computation offloading decision scheme based on Markov and Deep Q Networks (DQN) is proposed. First, we select the optimal offloading network based on the characteristics of the movement of the task offloading process in the network. Then, the task offloading process is transformed into a Markov state transition process to build a model of the computational offloading decision process. Finally, the delay and energy consumption weights are introduced into the DQN algorithm to update the computation offloading decision process, and the optimal offloading decision under the low cost is achieved according to the task attributes. The simulation results show that compared with the traditional Lyapunov-based offloading decision scheme and the classical Q-learning algorithm, the delay and energy consumption are respectively reduced by 68.33% and 11.21%, under equal weights when the offloading task volume exceeds 500 Mbit. Moreover, compared with offloading to edge nodes or backbone nodes of the network alone, the proposed mixed offloading model can satisfy more than 100 task requests with low energy consumption and low delay. It can be seen that the computation offloading decision proposed in this paper can effectively reduce the delay and energy consumption during the task computation offloading in the Space–Air–Ground Integrated Network environment, and can select the optimal offloading sites to execute the tasks according to the characteristics of the task itself.


Author(s):  
Qutaiba I. Ali ◽  
Issam Jafar

Aims: The aim of the Green Communication Infrastructure ‎‎(GCI) project is to understand the idea of a self ‎‎"sustainably" controlled correspondence foundation ‎fitting for smart city application fields. ‎ Background: This paper shows the endeavors to understand the idea of a ‎self "sustainably" energized communication foundation ‎fitting for smart city application fields. The recommended ‎Green Communication Infrastructure (CGI) comprises ‎different kinds of remote settled (or even versatile) hubs ‎performing diverse activities as per the application ‎requests. An imperative class of these hubs is the Wireless ‎Solar Router (WSR). Objective: The work in this venture was begun in 2009 with the aim ‎of demonstrating the essential advances that must be taken to ‎accomplish such framework and to proclaim the value of ‎embracing natural vitality assets in building mission ‎basic frameworks. Alternate destinations of this venture ‎are introducing a sensibly cost, solid, verified, and simple ‎to introduce correspondence foundation.‎ Method: The arrangement to actualize the GCI was accomplished ‎subsequent to passing two structure levels: device level and ‎system level. Result: The suggested system is highly applicable and serves a wide ‎range of smart city application fields and hence many ‎people and organizations can utilize this system. ‎ Conclusion: The presence of a reliable, secured, low cost, easy to install ‎and self-powered communication infrastructure is ‎mandatory in our nowadays. The communities in ‎developing countries or in rural areas need such a system ‎highly in order to communicate with other people in the ‎world which will affect positively their social and ‎economic situation.


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