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In emergency scenarios, tracking first responders is essential. While in open areas the quality of the Global Positioning System (GPS) service is typically acceptable, in partially obstructed environments, such as urban canyons, or indoor, it could be either unavailable or hindered by very coarse and unacceptable estimates. Moreover, most of the proposals for overcoming these limitations could be...
Both GPS and WiFi based localization have been exploited in recent years, yet most researches focus on localizing at home without environment context. Besides, the near home or workplace area is complex and has little attention in smart home or IOT. Therefore, after exploring the realistic route in and out of building, we conducted a time localization system (TLS) based on off-the-shelf smart phones...
The latest Federal Communications Commission (FCC) ruling has enforced database-driven cognitive radio networks (CRNs), in which all secondary users (SUs) can query a database to obtain spectrum availability information (SAI). Database-driven CRNs are regarded as a promising approach for dynamic and highly efficient spectrum management paradigm for large-scale Internet of Things (IoT). However, as...
Campus bus service has been introduced in hope to ease students and campus community to move around, but the service has been unreliable. More importantly, the position of the bus at a given time cannot be tracked, making it even more challenging to estimate the time of arrival. In this work, a low-cost campus bus tracker is proposed by selectively using WiFi proximity technique and GPS information,...
In this paper, we propose a new method for one-to-many data transmission in smart devices at close range. Existing methods require the use of an extra application service where the operating system differs between smart devices. In contrast, the proposed method makes use of the smart device's built-in speaker and microphone to confirm the transmission signal. Data is then transmitted via Wi-Fi or...
In this paper, we propose a smart system for realtime tracking of airport luggage using mobile applications and smartwatches. We track using Kalman-filtered Wi-Fi fingerprints collected by active tags. Information about the flights and association with different luggage pieces is inputted pre-flight using QR codes. Our system uses a smart power management scheme fusing multi-sensor and flight data...
Advertisements are used to attract users and for providing discounts. Many of them use text messages, posters for this purpose. Advertisement on mobile devices is need for the current scenario. In this paper, vendors are not only allowed to edit advertisement but to publish the advertisement to users according to the interest of customer. This is an effective technique as digital advertisement in...
A great challenge in developing countries is the constant traffic jams in urban areas, which are a consequence of excessive use of private vehicles. In these countries, more people would adopt public transportation, e.g., buses, if the time of arrival for the next vehicle to each bus stop could be predicted. In this direction, we propose WiBus, which is a system to estimate buses arrival time, based...
Boat is one of the most popular vehicles for local people and tourists to travel in Bangkok, Thailand, since there is no traffic jam. Without accurate arrival time, however, boat becomes an inconvenient transportation since the waiting time can be varied from 10 minutes to an hour. In this paper, we propose a novel boat arrival time prediction system by using passengers' mobile phones. The system...
Acquiring current position information from the GNSS is a straightforward procedure outdoors. Any mobile device, equipped with a GNSS receiver, having a line of sight with enough numbers of satellites can calculate its location. The mobile device does not need a full connection with any of these satellites. In the indoor positioning using the Wireless Ethernet IEEE 802.11 (Wi-Fi) standard, some accurate...
This paper proposes a new heterogeneous interior positioning system using Wi-Fi and GPS signals. It uses the continuous Naive Bayes classifier to incorporate different sources of signal in a single probability estimate. The algorithm assumes that the signals are distributed normally in each location, and the parameters of these distributions (i.e. mean value and standard deviation) depend on the location...
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