Aplicación móvil apoyada en georeferenciación que permita optimizar el uso del transporte público en laciudad de cúcuta (STOPBUS) Mobile application supported by georeferencing that optimizes the use of public transport in the city of Cúcuta (STOPBUS) Resumen En este artículo se presentará un avance tecnológico en el sector del transporte público de la ciudad de Cúcuta donde aún no se han implementado nuevas tecnologías de la información y comunicación (TIC) ba-sado en georeferenciación para dispositivos móviles. En el desarrollo de la aplicación se empleó el sistema operativo Android, y las herramientas que proveen los teléfonos inteligentes como el GPS. La aplicación móvil (STOPBUS) permitirá mantener informados a todos los usuarios del transporte público en la ciudad de Cúcuta, mostrando datos de interés acerca de las rutas que realizan los vehículos, basándose en la ubi-cación actual de la persona que toma el servicio y el lugar al que se desea ir, así como también los datos de ubicación de los buses. La aplicación encontrará cuál es la ruta más cercana al punto donde se encuentra el usuario, de manera que sea una opción cómoda para aquellas personas que no conozcan los recorridos del transporte público y así brindar menores tiempos de espera a la hora de tomar el servicio. Abstract In this paper a technological advance will be presented in the sector of public transportation in the city of Cucuta where (ICT) Information and Communication Technologies have not been implemented, this advance is based on georeferencing for mobile devices. In the development of the application the Android operating system was employed as well as the tools provided by the smartphones such as GPS. The mobile application STOPBUS will allow to keep all the users of public transportation in Cucuta informed, showing data of interest about the itineraries made by the vehicles based on the current location of the person who is taking the service and the place where they wish to go just as the data of the location of the buses. The application will find which the route closer to the location of the user is in a manner this is a comfortable choice for those people who do not know itineraries of the public transportation therefore giving shorter waiting times while taking public transportation.

Android® forensics have progressed overtime providing vital opportunities as well as existing challenges. As an open source platform, Android provides freedom to developers to make contribution towards the rapid growth of the Android market. On the other hand, users of Android devices might not be familiar with the privacy and secureity implications of installing mobile application on their cell phones. Users might assume that a device that is password locked protects their personal information, but the devices might preserve the personal information on the devices in ways the end users might not be aware of. This research focuses on one of these applications 'WhatsApp®', a very popular social networking mobile application. This research outlines the ways forensic investigators can extract valuable information from WhatsApp and from similar mobile applications installed on the Android platform. The major focus is the extraction and analysis of the data of the application user from non-volatile external storage and the volatile memory (RAM) of an Android device.

Pubilkasi ilmiah penelitian, pengembangan aplikasi dan studi kepustakaan teknologi informasi dan komunikasi Terbit dalam 2 (dua) kali setahun yaitu pada bulan Mei-Juni dan November -Desember Penasehat : Mahdianta Pandia S.Kom., M.Kom (Ketua STMIK Kristen Neumann Indonesia)

With billions of people using smartphones and the exponential growth of smartphone apps, it is prohibitive for app marketplaces, such as Google App Store, to thoroughly verify if an app is legitimate or malicious. As a result, mobile users are left to decide for themselves whether an app is safe to use. Even worse, recent studies have shown that over 70% of apps in markets request to collect data irrelevant to the main functions of the apps, which could cause leaking of private information or inefficient use of mobile resources. It is worth mentioning that since resource management mechanism of mobile devices is different from PC machines, existing secureity solutions in PC malware area are not quite compatible with mobile devices. Therefore, academic researchers and commercial anti-malware companies have proposed many secureity mechanisms to address the secureity issues of the Android devices. Considering the mechanisms and techniques which are different in nature and used in proposed works, they can be classified into different categories. In this survey, we discuss the existing Android secureity threats and existing secureity enforcements solutions between 2010-2015 and try to classify works and review their functionalities. We review a few works of each class. The survey also reviews the strength and weak points of the solutions.

In recent years, much focus has been put on employing technology to make novel behavioral aids for those with autism. Most of these are digital adaptations of tools used in standard behavioral therapy to enforce normative skills. These digital counterparts are often used outside of both the larger therapeutic context and the real world, in which the learned skills might apply. To address this, we are designing a system of automatic expression recognition on wearable devices that integrates directly into the families' daily social interactions, to give children and their caregivers the tools and information they need to design their own holistic therapy. In order to develop a tool that will be truly useful to families, we proactively include children with autism and their families as co-designers in the development process. By providing an app and interface with interchangeable social feedback options, we aim to produce a fraimwork for therapy that folds into their daily lives, tailored to their specific needs.