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There are two main issues which are currently under research in the localization field when mobile beacons (aka anchors or reference nodes) are used. The first issue represents a strategy to select the most efficient reference information from redundant data collected during the reconnaissance process. The second issue is a static path planning problem which represents an anchor placement approach...
Heterogeneous wireless systems such as a combination of mobile broadband wireless access (MBWA) and wireless local area network (WLAN) are candidates to attain the large capacity in the next generation mobile communication systems. For capacity expansion, small cells of multiple wireless network are deployed densely in these systems. Because a number of the cells overlap, users must discover lots...
Context-aware service apps provide a functionality which is personalized for a user's current situation. A main concern of context-aware mobile apps is a substantial consumption of resources. The excessive drain of resources for context acquisition results in slowing down the execution of other apps and shortening the battery life. Hence, we propose Context Acquisition Platform (CAP) to remedy these...
We research a mobile imaging system for early diagnosis of melanoma. Different from previous work, we focus on smartphone-captured images, and propose a detection system that runs entirely on the smartphone. Smartphone-captured images taken under loosely-controlled conditions introduce new challenges for melanoma detection, while processing performed on the smartphone is subject to computation and...
Patients with postural instability could lead to falls and injuries while walking due to balance disorders. So those patients need regular balance training and evaluation to improve and examine balance deficiencies. But many do not notice such balance issues; resulting lack of timely preventive measures. This shows the needs of affordable and accessible solution for balance training and assessment...
ECG has attracted widespread attention as one of the most important non-invasive physiological signals in healthcare-system related biometrics for its characteristics like ease-of-monitoring, individual uniqueness as well as important clinical value. This study proposes a method of dynamic threshold setting to extract the most stable ECG waveform as the template for the consequent ECG identification...
Localization of nodes is a very crucial issue in many wireless sensor network (WSN) applications. In this paper, we consider a WSN initially consisting of a single location-aware mobile anchor nodes and a number of location-unaware, stationary nodes, and propose two algorithms to localize the unknown nodes using the mobile anchor nodes. We can obtain the location information of the unknown nodes through...
Received signal strength (RSS) metric has been attracting a lot of interest in localization in wireless systems since it is available by default. However, this metric is affected by a shadowing phenomenon that highly degrades the localization accuracy. In this paper, we show that the RSS can be exploited for performing a clustering operation and finding the groups of geographically nearby mobile terminals...
In this paper we present experimental evaluations of cooperative ranging-based approaches in mobile positioning. Our main contribution is represented by experimental investigations of the errors introduced by the hand-grip effect on cooperative schemes among peer devices, demonstrating that by knowing in real-time the particular orientation of the MS in a controlled experimental environment, it is...
The number of applications available since the late 2010's, and the number of smartphone user sharply increasing. However, not all applications are not useful or helpful. In other words, to obtain satisfactory results in the search can be difficult means. Users to find what they want to search for a many times. To solve this problem, previous studies have proposed the use of recommender systems. Most...
How to reduce the transmission latency is a main concern in the context of Mobile Visual Search (MVS). Transmitting extremely compacted visual descriptor in a progressive manner is the start-of-art solution. In this paper, we present a novel MVS system following the client-server architecture. To reduce the transmission latency, the inquiry image is represented by a set of hash bits, which are then...
In this paper, the actual indoor environment the effects of reflection, diffraction, partition loss and other interference factors between the mobile station (MT) and a base station (BS), aiming at actual indoor environment is researched. The algorithm proposed here consists of real-time environment parameter measure, pseudolite positioning technology and cooperative multiple positioning circles algorithm...
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...
We present methods to predict and validate home and work places of anonymized users using their mobile network data. Knowledge of home and work place of a user is essential in order to find his (and overall population) mobility profiles. There are many methods that predict home and work places using GPS data. But unlike GPS data, mobile network data using GSM do not provide the exact location of a...
Most of the mobile platforms provide a keyword based full text search (FTS) for users to find what they want. However, FTS has difficulties in dealing with the cases where a user cannot remember the exact keywords about target data or the number of search results is too many. To overcome these limitations of FTS, we propose a semantically enhanced method of searching for data on mobile devices along...
In this paper, we propose a general smartphone user activity prediction framework utilizing the general concept of partial repetitive behavior (instead of the stronger periodicity condition) for similarity scoring and the landmark behaviors (representative behaviors to identify groups of similar behavior vectors). Prediction of the next-day(s) behavior is based on a weighted sum of the most similar...
Recently, many mobile applications to record everyday meals for dieting have been popular. Some of them can recognize names of food items in meals by only taking photos. However, such image-recognition-based food recording systems requires taking meal photos before eating, which are not applicable for the meals in which the amount of food to be eaten is not decided before eating such as large platter...
In this paper, we introduce the notion of mobility-cast in opportunistic networks, according to which a message sent by a node S is delivered to nodes with a mobility pattern similar to that of S - collectively named place-friends. The motivation for delivering a message to place-friends stems from the fact that current social acquaintances are likely to be place-friends. Most importantly, it has...
There are some common problems, such as low location accuracy and low sampling efficiency, existing in the present node localization algorithms that are based on Monte Carlo Localization (MCL) in mobile wireless sensor networks. To improve these issues, a Monte Carlo box localization algorithm based on RSSI(MCBBR) is proposed in this paper. In the algorithm, sampling box was constructed through RSSI...
Maintaining appropriate levels of food intake anddeveloping regularity in eating habits is crucial to weight lossand the preservation of a healthy lifestyle. Moreover, maintainingawareness of one's own eating habits is an important steptowards portion control and ultimately, weight loss. Though manysolutions have been proposed in the area of physical activitymonitoring, few works attempt to monitor...
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