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Journal of Mobile Multimedia

Editor-in-Chief: Pavlos Lazaridis, University of Huddersfield, UK


ISSN: 1550-4646 (Print Version),

ISSN: 1550-4654 (Online Version)
Vol: 15   Issue: Combined Issue 1 & 2

Published In:   January 2019

Publication Frequency: Quarterly


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A Testing Framework for Multi-Sensor Mobile Applications

doi: https://doi.org/10.13052/jmm1550-4646.15121
Darian Frajberg, Piero Fraternali, Rocio Nahime Torres, Carlo Bernaschina and Roman Fedorov

Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano, Piazza Leonardo da Vinci, 32, Milan, Italy

Abstract: [+]    |    Download File [ 4248KB ]    |   Read Article Online

Abstract: Outdoor mobile applications are becoming popular in many fields, such as gaming, tourism and environment monitoring. They rely on the input of multiple, possibly noisy sensors, such as the camera, Global Positioning System (GPS), compass, accelerometer and gyroscope. Testing such applications requires the reproduction of the real conditions in which the application works, which are hard to recreate without automated support. This paper presents a capture & replay framework that automates the testing of mobile outdoor applications; the framework records in real-time data streams from multiple sensors acquired in field conditions, stores them, and let developers replay recorded test sequences in lab conditions, also computing quality metrics that help tracing soft errors.

Keywords: Mobile sensing, Regression testing, Mobile Augmented Reality, Context simulation.

An Intelligent Internet of Things (IoT) Sensor System for Building Environmental Monitoring

doi: https://doi.org/10.13052/jmm1550-4646.15122
Qian Huang1, and Kyle Kieffer2

1School of Architecture, Southern Illinois University Carbondale, Illinois, USA
1Electrical and Computer Engineering Department, Southern Illinois University Carbondale, Illinois, USA

Abstract: [+]    |    Download File [ 5066KB ]    |   Read Article Online

Abstract: One of the world’s largest sources of energy dissipation is heating, ventilation, and air conditioning (HVAC), which accounts for 40% of total electricity use in the United States. The main challenge of current HVAC systems is that their operation is determined by a set of predefined setpoints regardless of the actual building occupancy status. This is wasteful, especially when no or fewer people occupy buildings, while these HVAC systems deliver more than enough fresh air. Occupancy-driven HVAC control is a promising strategy to improve the efficiency of HVAC systems. In this paper, we will address the next-generation sensor hardware design and explore new system architectures. We systematically investigate, design, and implement a lowcost, hybrid smart sensor platform for accurate occupancy counting towards energy-efficient buildings. Specifically, the proposed hardware architecture is wisely divided into two modules: main and gate monitoring modules. Five heterogeneous sensors are integrated into this architecture to collect richer building environmental parameters, including temperature, humidity,CO2, acoustic, and infrared signals. These sensor signals can be fused and analyzed for cross-correlation to increase the accuracy of building occupancy counting. The proposed systems have been implemented in breadboards and PCB boards. Experimental measurements have validated system functionality and performance.

Keywords: Room occupancy monitoring, Internet of Things, Heterogeneous Sensor

River Publishers: Journal of Mobile Multimedia