Abstract Electronic sensors are able to generate statistical data based huge amount of data files. This is possible when the traffic dataset are available in open data portal. Electronic data is produced from traffic sensors and serve as a rich source of information, that provides speed, vehicle count and so on. It is important that traffic data needs to be processed... Electronic sensors are able to generate statistical data based huge amount of data files. This is possible when the traffic dataset are available in open data portal. Electronic data is produced from traffic sensors and serve as a rich source of information, that provides speed, vehicle count and so on. It is important that traffic data needs to be processed at the micro-level using complex workloads. Thus the normal data processing tasks require big data specific tools. Initially we have used a few stages in producing short-term indicators of the evolution of the traffic flow variable in a city using the Spark big data platform. With the help of the data on the sensors’ geographical location, the indicators are then analyzed to assess the impact of some recent local government measures used to ease the pollution and traffic flow. Read More Read Less

Abstract We in this work have studied the video games content which are produced in the media in a small city in Mexico. We took a time frame between 1985 and 2000. The analysis in this work has enabled us to study the workflow of integrating such technologies into small cities in Mexico at the time of their introduction, and we... We in this work have studied the video games content which are produced in the media in a small city in Mexico. We took a time frame between 1985 and 2000. The analysis in this work has enabled us to study the workflow of integrating such technologies into small cities in Mexico at the time of their introduction, and we found that by means of several advertisements and propaganda strategies, video games became true objects of desire and signs of modernity. Read More Read Less

Abstract When the text corpus is huge, it is somewhat difficult to effectively manage the collection with good indexing. When the text has complex datasets, the classification and indexing is a challenging issue. We in this exercise, has proposed an efficiently automatic indexing system for large datasets. We have also tested its effectiveness in large collection of real texts. To make... When the text corpus is huge, it is somewhat difficult to effectively manage the collection with good indexing. When the text has complex datasets, the classification and indexing is a challenging issue. We in this exercise, has proposed an efficiently automatic indexing system for large datasets. We have also tested its effectiveness in large collection of real texts. To make evaluation, we have applied KNN and SVM classifiers. The proposed solution easily outperforms the traditional indexing pattern based on TFIDF system. Even the evaluation was carried out in the environment of Arabic language, it is applied to any language. Read More Read Less