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SVM (Support Vector Machine), a state of the art classifier model is implemented on a computational mobile platform and its performances are evaluated against a low complexity classifier such as SFSVC (Super Fast Vector Support Classifier) on the same platform. For a better comparison, similar implementation for the two architectures are considered, such as using the same basic linear algebra library...
Mixed Reality (MR) is of increasing interest within technology- driven modern medicine but is not yet used in everyday practice. This situation is changing rapidly, however, and this paper explores the emergence of MR technology and the importance of its utility within medical applications. A classification of medical MR has been obtained by applying an unbiased text mining method to a database of...
This paper introduces a fitness data management system based on the Android platform for the strength fitness equipment, which can display, storage and mange fitness data. The server for this system is Tomcat and the mobile terminal's operating system is Android. App installed on the terminal interact with the database through HTTP transport protocol, which enable the visual management for fitness...
This paper proposes a novel approach for visual query compression with a bank of transforms selected on Grassmann manifold. Instead of using single transform and quantization pipeline for all the features extracted from an image, we group the key point features according to their local embedding subspace geometry and organize them into different leaf nodes of a KD-Tree which was built from a large...
We present the AP16-OL7 database which was released as the training and test data for the oriental language recognition (OLR) challenge on APSIPA 2016. Based on the database, a baseline system was constructed on the basis of the i-vector model. We report the baseline results evaluated in various metrics defined by the AP16-OLR evaluation plan and demonstrate that AP16-OL7 is a reasonable data resource...
Objective: To develop an Airport SMS tool which could effectively support the work flow of airport safety management. Methods: The tool was developed based on B/S structure, and mobile application and smart device were also adopted for its accessibility. At the same time, both internet and mobile network were used in this tool, and multimedia technology, e.g. images, videos and geographic information...
This paper presents a novel approach for object recognition in extended image databases using a mobile client-server architecture. The proposed approach relies upon feature detection and description to characterize textured objects within the image. The similarity search is performed on descriptor arrays by computing the distance between the query descriptor compared with reference descriptors extracted...
Different location determination methods using wireless signal strength have been proposed to improve the location accuracy and mitigate the multipath problem in indoor environment. In this paper, a fingerprinting-probabilistic approach for indoor localization using wireless technology is proposed. The method is based on the use of the Gaussian Mixture Model (GMM) to approximate the probability distribution...
Providing indoor location-based services is challenging due to the vast coverage required and the scalability of positioning systems. This article proposes a participatory service platform for indoor location-based services to solve such problems. In the proposed platform, a few site trainers constructed an initial database of indoor positioning locations through minimal intrusive actions. Thereafter,...
Mobile-based applications have become ubiquitous in many aspects of people's lives over the past few years. Harnessing the potential of this trend for healthcare purposes has become a focal point for researchers and industry, in particular designing applications that can be used by patients as part of their wellness, prevention, or treatment process. Along the way, mobile cloud computing (MCC) has...
The research study investigates the development approach and analyses of m-learning course management system developed as case study. The contribution of the research study is the analyses of the task based instructional strategy and conceptual definition of the assessment methods regarding the level of mobile learning outcomes while assessing different software engineering aspects of development...
Parameter tuning is a common issue for many tracking algorithms. In order to solve this problem, this paper proposes an online parameter tuning to adapt a tracking algorithm to various scene contexts. In an offline training phase, this approach learns how to tune the tracker parameters to cope with different contexts. In the online control phase, once the tracking quality is evaluated as not good...
In this paper, the problem of Received Signal Strength (RSS)-based WLAN positioning is newly formulated as a deconvolution problem and three deconvolution methods (namely Least Squares, Weighted Least Squares and Minimum Mean Square Error) are investigated with several RSS path loss models. The deconvolution approaches are compared with the fingerprinting approach in terms of performance and complexity...
Modern mobile devices and networks permit to develop applications that reduce the language barrier for tourists and visitors in foreign countries. This paper describes a mobile application built on a distributed architecture that allows tourists to obtain additional information about location names and menu entries in Arabic language. By simply taking a photo, translation and additional information...
This paper proposes a discriminative learning bags-of-words (BoW) approach for mobile landmark recognition at patch and image levels. Conventional methods often treat the local patches and images equally important for recognition and do not differentiate their different importance. Although there exist several works that consider the patches' discrimination information, they mainly focus on which...
Many location-based services require location awareness, but it is often too expensive to include a GPS receiver in every network node. Hence, localization schemes using radio signal strength is more attractive when high precision isn't in demand. Fingerprinting is an effective method, but it is inaccurate when accidental gross error is included in the measurement. In this paper, we exploit an improved...
The Chinese text in natural scene images which are transmitted in mobile communication network usually contains various and important information. Therefore, capturing Chinese text in these images can analyze the content of these images, and improve the commercial value and security of our network. The paper proposes an efficient and effective method to capture the Chinese text in images which were...
As hand-held devices become popular in society, the demand for mobility is extended to teaching and learning purposes. This paper presents the design and implementation of a mobile learning system for syndromic surveillance and diagnosis. This system can assist farmers and veterinary students to study surveillance and diagnosis of farm animal diseases in the field. In this paper, we present a mobile...
Due to the growing number of mobile users, global connectivity, and the small size of cells, one of the most critical issues regarding these networks is location management. The challenging task in a cellular system is to track the location of the mobile users effectively so that the connection establishment cost and delay is low. In recent years, several strategies have been proposed to improve the...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
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