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Complex networks have become a large area of study due to their pervasiveness in today's society and our dependence on them. While network science enables engineers and scientists to improve resilience of networks, due to lack of realistic data, simplistic assumptions may result in incorrect conclusions. Network service providers optimize their designs and plan for future capacities based on realistic...
Analyzing the spatial distribution of residential land and its spatial distribution relations with residential facilities and transportation facilities is of great reference value for the regional optimal allocation of human settlements and the balanced development of human settlements. This paper took Wuhan City Development Zone as an example, and used the sixth census data and survey data of urban...
This paper describes a hybrid simulation model that integrates the System Dynamic approach with discrete time control to formulate the projections of population evolution. The study relies on historical demographic data and the officially formulated scenarios for the most likely population projections developed for the region. The results of the simulation experiments provide valuable insights into...
RFID systems have been widely deployed for various applications such as supply chain management, indoor localization, inventory control, and access control. This paper deals with the fundamental problem of estimating the number of arriving and departing tags between any two time instants in dynamically changing RFID tag populations, which is needed in many applications such as warehouse monitoring...
This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. After a number of experimental procedures, this study reveals that deploying a population of 10 nests is sufficient to obtain good solutions to the Rosenbrock test...
A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The original DE algorithm generates an initial set of suitable solutions. The multi population strategy divides...
Sample size has a two-fold role in research: sample size is inter-connected with statistical analysis of the data and generalization. Therefore, sample size has attracted a lot of research efforts in all the research fields including educational research on E-Business application. However, little attention has been given to a framework for selecting sample size in educational research on E-Business...
We combine Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) products to create observation-based and scenario-based maps characterizing distant-past, recent-past, present, and near-future land cover and land use change in the continental United States at a ∼5km scale. These maps show the nature and impact of urbanization across the continental U.S. from 2001 to 2020 with focus on...
Based on the National Land Use/Cover Database of China (NLUD-C), urban land situation of China in three time nodes (i.e. the end of 1980s, 2000 and 2010) were selected and described, as well as the growth rate of two time periods (i.e. the end of 1980s–2000, 2000–2010) were calculated. The rationality of land urbanization in China was analyzed by comparing the growth rate of population urbanization...
We consider stochastic models in presence of uncertainty, originating from lack of knowledge of parameters or by unpredictable effects of the environment. We focus on population processes, encompassing a large class of systems, from queueing networks to epidemic spreading. We set up a formal framework for imprecise stochastic processes, where some parameters are allowed to vary in time within a given...
Small-area population estimation is important for many applications. This paper explores the usefulness of Landsat ${\bf ETM} + $ data, remotely sensed height data, census population, and dwelling unit data to provide small-area population estimates. Riyadh, Saudi Arabia was selected as a suitable area to test a set of methods for population downscaling. Two broad approaches were applied: 1) statistical...
The car industry today is the most lucrative industry in India. Due to increase in disposable income, easy financial environment, change in the lifestyle, adaptation of nuclear families etc. are the major factors which results into high purchasing power of an individual in recent years, because of which number of cars have increased in our neighborhood. With the increase in the number of cars, queues...
Terra Populus, part of National Science Foundation's DataNet initiative, is developing organizational and technical infrastructure to integrate, preserve, and disseminate data describing changes in the human population and environment over time. A large number of high-quality environmental and population datasets are available, but they are widely dispersed, have incompatible or inadequate metadata,...
While some progress has been made in stemming forest loss in the tropics, deforestation continues to threaten tropical biodiversity. Many tropical protected areas exist as “islands” surrounded by continuing land use change and development. To understand the interconnections between land cover, biodiversity, and population growth, we use a unique dataset from the Tropical Ecology Assessment and Monitoring...
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
“Mobile Ad Hoc Network” (MANET) is a form of ad hoc network in which the devices are dynamic and configure themselves during the fly. Hence, for an energy efficient and stable communication to be established among the nodes, the nodes must be organized into groups called clusters. Associativity is one among the good metrics that can configure the speed of a node with respect to its neighbour. In the...
Pakistan is facing a severe energy crisis of its history due to increase in the energy demand and lack of investment in mobilizing its energy resources. This paper aims to discuss the energy outlook and ways toward greener environment in electricity production in Pakistan. Gross domestic product and population are the major drivers behind the growing demand for energy. Demand for electricity in Pakistan...
The world population is rapidly increasing due to uncontrolled growth especially in developing countries, however governments still hold the responsibility to provide civilized and modern life which includes infrastructure, housing and healthcare system. Random settlements are the main problem associated with this issue. To solve these problems governments must have advanced spatial plan to deal with...
In this paper, Chinese was divided into two groups of Han and Minority groups. First, population trends of both groups were estimated by a simple discrete exponential growth model. Second, population trends of both groups were simulated and analyzed by Logistic model based on 2000–2010 census data and sample survey data. All models were evaluated and analyzed. The conclusions were whether it was the...
In this paper, there are two mutation strategies and two crossover strategies are involved for enhancing solution searching ability of Differential Evolution (DE). These strategies will be activated according to current solution searching status. The elitist mutation will guide particles toward to solution space around the elitist particles, and the random to real-rand mutation can prevent particles...
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