RFID-BASED USERS’ LOCALIZATION IN THE CROWDED AREAS

Managing crowded areas is an extremely and difficult task. Several people might be injured or lost their lives every year because of mal organization of the crowded areas. There are many regular crowded events where this problem continuous and create social and personal upheaval, namely, if not resolved, perhaps destroy the image of the administrators and organizers. One such events is the anniversary pilgrimage Hajj, where Millions visits the holy sites Makkah (mecca) in Saudi Arabia to perform various rituals. In Addition, there are other regular events attracts much more participants. During this event, some of the pilgrims get lost and are unable to reach back to their places. There are many techniques that used to manage and track users in the crowded areas, like Wi-Fi, Mobile networks and RFID. In this article we proposed an integrated management model to solve this problem. The proposed model is based on web system that use maps and location, and use the IOT tools to track and monitor users. This proposed architecture can be utilized to solve various challenges related to management of the crowd in general and management of pilgrims in particular. This model can be adapted to any crowded event.

Stochastic Numerical Investigations for a Food Web System of Prey-Predation, Competition and Commensalism

Employing Levenberg-Marquardt backpropagation(LMB) neural network, the system of three species nonlinear equations are illuminated by designing an integrated numerical computing-based plot. The proposed dynamical system comprises of two competing species which are growing logistically in nature and, the third species is predating with Holling type II functional response mode on second species and also acts host for the first prey species. Besides, the prey species protect themselves to refuge high predation. The designed LMB neural network has been used to exhibits the solutions of the dynamical frame work. In each case of the species, a reference dataset of the planned LMB neural network is initiated in comparison of Adam numerical program. The approximate results of the food web system are displayed within the training, confirmation and testing strategies to redesign the neural network to minimize the mean square error (MSE) function employing the designed LMB. The investigations depend on the corresponding achievements and the examinations based on MSE out comes, correlation, regression and error histograms signify the proficiency, rightness as well as the potency of the suggested LMB neural network conspire.

Development and implementation of a web-system for making management decisions on increasing soil productivity of degraded agricultural lands

Experimental studies on the effectiveness of the use of new organo-mineral amendments obtained on the basis of biocompost to restore fertility and increase the productivity of degraded alluvial meadow medium loamy and sod-podzolic sandy loamy soils of reclaimed agricultural lands were carried out by the authors of the paper as part of the implementation of the state assignment of the Ministry of Science and Higher Education of the Russian Federation “To develop a scientific and methodological approach and new agro-meliorative methods for restoring the fertility of degraded reclaimed lands, reclaiming contaminated soils and disturbed pasture areas in the European part of Russia”. The studies included a series of long-term greenhouse and field experiments performed on the reclaimed lands of JSC “Moskovskoye” and the stationary site of the Meshchersky branch of the A.N. Kostyakov All-Russian Research Institute of Hydraulic Engineering and Land Reclamation, which resulted in new ways of restoring the fertility of degraded reclaimed agricultural land and low-productivity lands involved in agricultural circulation using multifunctional amendments for the conditions of the southern part of the Non-Black Earth Zone of Russia. At the end of the experimental studies, the authors developed a database, and then an information and reference Web-system that allows entering, storing, finding and analyzing information on ways to increase the soil fertility of degraded reclaimed agricultural land and low-productivity lands involved in agricultural circulation using biocompost based on the processing of organic waste. This software allows making scientifically based and timely decisions to restore fertility and increase soil productivity.

Web System for Spatial Processing and Analysis: An Application in a Neonatal Screening Program in Southern Brazil

Background Spatial data analysis refers to the process of finding patterns, detecting anomalies, or testing hypotheses and theories by observing phenomena associated with a specific geographic area or location. The literature in the area presents different studies that seek to understand its phenomena through spatial analysis techniques and methods. However, these studies have several problems, such as the frequent use of only one type of analysis, area or punctual. Furthermore, the studies do not formally describe the process of treatment and organization applied to the data to replicate the spatial analyzes in other research areas. Thus, this work proposes a web system for generating, organizing, and processing data compatible with geographic information systems to construct spatial analysis of area and points. Methods The proposed method was developed with the JavaScript programming language and structured in four sequential steps: data acquisition, processing and organization, data validation, and spatial analysis. Data from three diseases (cystic fibrosis, congenital adrenal hyperplasia and hemoglobinopathies) from a neonatal screening program in southern Brazil were used to validate the proposed method and construct the spatial analyses. The choropleth mapping and kernel density estimation methods were used to build the analyses. Results The results obtained made it possible to georeference the data, validate it to its area of study, associate it with its micro and mesoregions, and cross it with public databases. In addition, the results enabled the construction of scientific maps of area and points to visualize the primary evidence from the spatial distribution of disease cases. Conclusions The developed method showed high replication potential for other study contexts. Also, it proved to be relevant in the context of spatial analysis, enabling speed in processing, data organization and, consequently, in the construction of significant results that can be used in public policies that directly impact people's quality of life and health challenges.

Development of Intellectual Web System for Morph Analyzing of Uzbek Words

Currently, there is an active development of the Uzbek sector of the Internet. In it, as in other national sectors, the most common form of presentation of textual information is semi-structured documents, work that presupposes the availability of reliable algorithms for text analysis, including its lexical characteristics. The article offers an intelligent web application developed for morphological analysis of words in the Uzbek language. The web application is based on the concept of generation and stem analysis of the Uzbek language word forms. A well-known Porter algorithm was chosen as the basis for stemming. The morphoanalyzer generates word forms of the Uzbek language based on the division of words into certain classes, taking into account the specifics and structure of this language. For example, nouns can be classified by meaning (related, nominal), by quantity (singular and plural), by case, and also, by the endings of belonging (possessive).

DCluster: Geospatial Analytics with PoI Identification

The generation of geospatial data is an inherent aspect for several applications that aim to track people, automobiles, or other mobile objects. Mining information from this type of data is a crucial factor for the development of Smart Cities. In many cases, it can help improve human mobility and the quality of citizens. In this sense, there is a growing demand for systems capable of extracting information from several data types, including the geospatial one. In this work, we present DCluster, a web system that aims to assist data analysts in exploring and visualizing the main types of data, including the geospatial one. Additionally, DCluster has the capability of discovering points of interest based on data of mobile users and classifying them as Home, Work, and Other locations. Data analysts can take advantage of DCluster to explore their data and extract knowledge from it.

The Dynamics of a Tritrophic Leslie-Gower Food-Web System with the Effect of Fear

The avoidance strategy of prey to predation and the predation strategy for predators are important topics in evolutionary biology. Both prey and predators adjust their behaviors in order to obtain the maximal benefits and to raise their biomass for each. Therefore, this paper is aimed at studying the impact of prey’s fear and group defense against predation on the dynamics of the food-web model. Consequently, in this paper, a mathematical model that describes a tritrophic Leslie-Gower food-web system is formulated. Sokol-Howell type of function response is adapted to describe the predation process due to the prey’s group defensive capability. The effects of fear due to the predation process are considered in the first two levels. It is assumed that the generalist predator grows logistically using the Leslie-Gower type of growth function. All the solution properties of the model are studied. Local dynamics behaviors are investigated. The basin of attraction for each equilibrium is determined using the Lyapunov function. The conditions of persistence of the model are specified. The study of local bifurcation in the model is done. Numerical simulations are implemented to show the obtained results. It is watched that the system is wealthy in its dynamics including chaos. The fear factor works as a stabilizing factor in the system up to a specific level; otherwise, it leads to the extinction of the predator. However, increasing the prey’s group defense leads to extinction in predator species.