A Smart Electronic Tagging System Based on Context Awareness and Machine-to-Machine Interworking

Abstract

The existing electronic tagging system traces the location of a sex offender using triangulation by communicating with Global Positioning System (GPS) satellites and mobile phone base stations. The acquired location information is used to prevent the offenders from perpetrating repeat crimes. However, the battery resources of such a system are inadequate as it has to trace the location of the moving target in real time and consumes a large amount of battery power while communicating with GPS satellites and mobile phone base stations. In addition, the systems cannot infer the mental state of the targets or detect their alcohol consumption levels, which may be necessary for the prevention of a repeat crime. The purpose of this study is to connect the Ubiquitous System Network (USN), which consumes little electricity, and Android mobile platforms, which are commonly used for machine-to-machine communication. Thus, this system will legally facilitate the protection of minors by providing information only about the target's approach to certain facilities. In addition, the system uses an Android platform to process data measured by the USN's sensors, which can also detect alcohol intake and infer the mental state of the target, and then initiates the corresponding real-time context-awareness services.

Pengembangan Media Pembelajaran Interaktif Pada Konsep Monera Berbasis Smartphone Android

“…Menurut Ichwan, Husada & Rasyid (2013), Android menyediakan platform yang terbuka bagi para pengembang untuk menciptakan aplikasi (Lee et al, 2013). Android merupakan platform mobile device yang memberikan kemudahan pengembang pengembangan bagi pengguna sesuai dengan yang diharapkan (Ichwan, Husada & Rasyid, 2013).…”

The Minimum Selection of Crowdsourcing Images under the Resource Budget

“…where X C , Y C , Z C represent the camera coordinate system, X W , Y W , Z W represent the world coordinate system [30,31]. In this experiment, the reference range is 100 m and the coverage requirements are defined from 0 • to 360 • .…”

An Intelligent Guardrail Context-Awareness System Based on Acceleration Sensors in Ubiquitous Sensor Networks

“…Context-awareness computing technology collects context information from sensors installed in different locations. It processes the data according to the objectives of the services to determine the most appropriate service for the user's current context and then reconstructs this dynamically before providing the service to the user [9][10][11][12]. In the future, it is expected that, as the ubiquitous environment advances, the scale of context-awareness computing will increase geometrically.…”