Transaction processing systems (SPT) are the union of software, network equipment, servers, among others, that are used to work with large volumes of data. The inadecuated design of an SPT in one of its processes or the malfunction in one of its components or elements, it can directly impact the performance of an application and the company operation environment or product depending on the system objective, it could cause waste of time in process responses, it could have an impact on the total failure of the service. Failure to provide this service properly could cause economic losses in a company or organization.
The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas.
The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas. They are versatile tools, with a wide field of application in any activity that entails a spatial component.
The objective of this scientific resource is to perform an analysis of the use of technology for the data collection of geo-referenced points the effect that causes load and visualization time indexes for users under the comparison of two specific technologies, one of them Php and Ajax resulting in the recognition of the best technology and possible failure causes that make the processes much faster and when this does not happen.
In our world, the increase of vehicles in each city has been a constant problem causing an misnamed "vehicular congestion", the same that has been fought for each administrative sector, in this article, noting that they are the best tools for creating software that enables recommend solutions in vehicle descongestion, which is vital to a centralized approach fulfilling tasks, optimizing time resources are used to analyze the parameters that influence the vehicular congestion.
In the following article, we seek to analyze parameters that have an impact on vehicular congestion, such as density, speed and intensity, which allow finding certain indicators that may be related to problems raised on roads or avenues, such as: traffic slowness due to failure in synchronization of the traffic lights, the inconveniences caused during peak hours, etc. Using, information collected from media communication (newspaper), and data displayed by INEC, an analysis will be carried out applying formulas related to the mentioned parameters with certain characteristics found in transit, at a national level, including the most important cities how are Quito and Guayaquil.
In recent years advances in technology have led to the generation of large volumes of data, mainly numerical data, highlighting the interest in processing them to extract knowledge and information from them. The main objective is to make more efficient the systems from which these data have been obtained and help in decision making. The information in a database is implicit in the values that represent the different states of the systems, whereas the knowledge is implicit in the relations between the values of the different attributes or present characteristics. These relationships are identified by groups to be discovered and describe the relationships between the input and output states. One of the main human functions is to classify, differentiate and group different objects according to their attributes. The article investigates how to apply fuzzy grouping algorithms, which allow an element to belong to more than one group by a degree of membership, in order to obtain relevant characteristics or recognize patterns of a set of data. We discuss a study that involved 4 main fuzzy algorithms where each algorithm is explained and how they are related, as well as with each new algorithm solves problems that the previous one did not solve efficiently.
At present where there are large volumes of information, recommendation systems are needed to help users find and evaluate articles of preference or interest. A number of investigations in this domain suggest that “best” recommendations, according to objective metrics, are sometimes not the ones that are most satisfying or useful to users. However, if the system assumes that user preferences are not in line with the recommendation made, mechanisms should be provided to put the user in control of the recommendations. The article investigates how to give control to the users in the systems of recommendation and the quality of these from a perspective centered on the user. We discuss a study that involved 4 scientific investigations related to the subject and consider parameters such as the type of recommendation system, the method used, the application area and the results obtained in those investigations. Which focuses on the accuracy and novelty of the recommended articles, and on the general satisfaction of the users. We have classified the recommendations considered with respect to these attributes and compared these results with measures of statistical quality of the algorithms considered. It is intended to generate new recommendations based on new preferences that could lead to greater user satisfaction and confidence in the system.
Affective computing and consumer behavior have evolved to give way to sentiment analysis either invasively or interactively. There are some tools that facilitate affective computing such as CRM and recommender systems. These are studied to analyze their objectives, applications and performance, without neglecting the evolutionary process that have suffered through the years. Also relevant is the direct impact of affective computing companies that use it, and the process that this implies. Its application to predict and give consumers new products is a reality in today's market, increasing company profits and enabling approach to the consumers never has seen before.
This article presents a visual analysis and processing of a data set of vehicle GPS paths for the discovery of spatiotemporal patterns, which is developed in the Weka tool and QGis, the proposed analysis is based on the location of length and presents latitude of a set of vehicles which determines how close are the north pole and likewise verify that industry make more geographic coordinates. To perform this experiment was taken as the first step in selecting a software environment and appropriate hardware, enabling configuration and correct implementation of applications and thus able to perform better in the development of research, the following steps They are to create a base of spatial data, load the spatial data set using a procedure developed in Visual Studio, generation of geometric points, display of geometric points loaded from the database within a geographic information system QGis and finally analyze and process GPS vehicle trajectories using the technique of data mining, which it was found that there are a number of vehicles that make it coordinates near north pole.
Despite the technological advances in the system for determining spatial coordinates in recent years, still they have minimal defects, therefore, the GPS not as evidenciable would be considered as the localization error is denoted in a few meters unlike what actually recorded. That's why, to analyze a vehicle trajectory, conducted the study of a set of records, downloaded from a website, which contain GPS trajectories 10,357 taxis during the period from 2 to 8 February 2008 in the city of Beijing. Fields containing the data set are: taxi identifier, date and time, longitude and latitude. a corresponding geographical map was also used to the city mentioned, which was unloaded in download.geofabrik.de, and was implemented by the Geographic Information System QGIS, the same which allows a geographical display of all vehicular paths. The resulting information will be integrated into the R statistical analysis tool for the user to visualize in statistical tables movements of taxis at certain times or points of the city, so it can be displayed in bar statistics frequency fields and time. These data obtained have greater relevance because, you can work and manage an accurate and concrete way.
With the advent of smartphones and applications that provide users originate research efforts to learn the basic software that allows the iteration between the device and the user, this is called the Android operating system for mobile devices. This paper explains the main features, architecture and components of the operating system, analyzing their kernel, making the final make a comparison with GNU / Linux and application models, drivers, kernel extensions, as a result of this investigation.
In this paper the process for analyzing feelings described using applications such as: Hadoop in version 2.3.2, and the facilities provided by the API (Application Programming Interface, for its acronym in English) from Twitter for extraction and information processing (Tweets) of the University of Guayaquil - Ecuador. So you can evaluate the information obtained by running different scripts, containing algorithms required for the analysis of feelings and determine if it is a positive, negative or neutral comment. Thus obtain the final result information to help determine the feelings of users of the account of the University of Guayaquil. This information is very helpful to support the decision making process.
This paper details the applications of routing algorithms or tracing routes through GPS (Global Positioning System, for its acronym in English) on different devices on the market, such as mobile devices called gadgets, GPS sensors, radars, Smartphones, wereable, etc. Also has been analyzed systems such as HERE and GoogleMaps with StreetView service. They show on their websites virtual maps with relevant information in second or third dimension of road networks, or real-time information as roadblocks or under construction as well as vehicular traffic routes of the world's major cities. This research concludes with the main advantages and disadvantages of these routing algorithms with the intention that in future work are evidenced by experiment and simulation to identify negative entropy of these systems, and the performance of these within a controlled environment.
This article describes the evaluation of work Hadoop framework and complement Excel Power View through an experiment analyzing large volumes of information from GPS vehicle trajectories. In order to do a study to use Hadoop's own tools, USA dataset with information used trucks and their respective routes. This research was conducted in the following stages: 1) selection work environment where we see what are the best features and the need to work with Hadoop, 2) hardware to setup the environment and features for the analysis of GPS, 3) paths loading, analysis and visualization of results. Using Hive it is studied as a data store and the transformation of the tables to a format that facilitates ORC information processing. At the stage of data analysis it was used to perform MapReduce algorithms and PIG to make a risk assessment using SQL code conversions. Lastly displays and interprets the results with Power View a feature of Microsoft Excel 2013, which shows a map with GPS coordinates for all vehicles, where analysis techniques could conclude that 40% of accidents on the roads of EE California USA is caused by driver fatigue. For future work will proceed to generate GPS paths of the city of Guayaquil to determine patterns in their behavior.
This paper reflects the benefits to control transit countries have adopted architecture of intelligent transportation systems as a model for the deployment of intelligent traffic systems. Efforts are evident in the traffic control agencies of Ecuador in generating and implementing projects to improve their controls of transit using information technology and communication, however interoperability and heterogeneity are due deficiencies deployments that are performed without using a model that the normal and standardized. The recent creation of autonomous governments who will within its competence, traffic control, evidence a risk of implementing new traffic control systems, exacerbating the problem continue. This research proposes the adoption of a Framework for the design of an ITS Architecture in Ecuador which aims to improve the interoperability of existing systems from a model for deploying new traffic control systems.
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