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Collecting user's current location(s) and place-to-place transitions, predicting future destinations, equipping users with location sensitive information, and handling relevant communication requests are core ingredients of new generation of service provider applications on mobile devices. Periodic place-to-place transitions are inherent in human movements. Next place predictions are the atomic units...
Sentiment feature selection (SFS) refers to the task of automatically identifying whether a feature contributes to sentiment classification. Most existing researches do not make a distinction between sentiment classification and topical text classification. Actually, the former commonly depends more on features conveying sentiments while the latter depends on features with strong class distinguish-ability...
We present synthesized findings from a systematic study of user mobility based on a well grounded data set through mining attributes of place-to-place transitions. Next place predictions are the atomic units in constructing end-to-end user mobility trajectories based on historical trace data. These trajectories in turn form models for opportunistic networks to be utilized for providing location and...
Location-based Social Discovery (LBSD) services enable users to discover their geographic neighborhoods to make new friends. Original LBSD services were designed to provide the exact distances to nearby users. It has been shown that it is easy to pinpoint any target user's location by using trilateration based on the exact distances from three fake GPS locations to the target user. To thwart the trilateration...
This paper describes a localization method for an IR-UWB (Impulse Radio Ultra Wideband) two-way ranging system developed for precise time-of-arrival measurements. The ranging system provides a time resolution of 275 ps, which allows precise indoor distance estimation with the accuracy of 4 cm. In this work, a two-way ranging algorithm has been extended into a localization algorithm without the need...
Ultra WideBand(UWB) Impulse Radio (IR) has huge advantages in target identification for its broad band, good concealment and strong ability to penetrate obstacles. We apply the UWB-IR technology theory in target identification under the foliage environment. It is different from the traditional radar and wireless sensor network (WSN), for it combines forward communication and target identification...
With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains information captured from different dimensions (Social, Spatial...
This paper presents an algorithm for processing Connect-the-Dots puzzles. In particular, the use of Optical Character Recognition (OCR) and other image processing algorithms to process pre-existing Connect-the-Dots puzzles is explored. An algorithm was developed which utilizes Matlab and C# to locate and identify the numbers in the puzzles. To test the accuracy of the algorithm an experiment was conducted...
Tracking travel patterns and modes is useful on many levels. Prior efforts to collect this information have been stymied by low accuracies or reliance on supplementary devices. One technique to overcome low accuracies is to use prompted recall, in which the user is prompted to supply the ground truth for automatically generated information. However, prompted recall increases the burden on the user,...
Speech-based test is a one of the best ways to train students' level of proficiency. However, in e-learning it is difficult for students to maintain their concentration when speaking to a monitor. We propose speech-based online test system employing a human-likely embodied graphical agent as a listener. The developed system consists of three modules, user recognition, agent's non-verbal behavior realization,...
As one of the largest Social Media in providing public data every day, Twitter has attracted the attention of researcher to investigate, in order to mine public opinion, which is known as Sentiment Analysis. Consequently, many techniques and studies related to Sentiment Analysis over Twitter have been proposed in recent years. However, there is no study that discuss about sentence pattern of positive/negative...
During the summer of 2013, a group of high school Juniors from Newburgh Free Academy joined the program NetSci High (2013–2014) and had the opportunity to spend ten days at Boston University to learn more about network science. While there, the students learned about what networks are, how they are used, and why they are important. Consequently, they planned to combine a shared interest of literature...
To add more value on YouTube, a popular portal of social media clips, it is worth recognizing automatically the mood of a media clip using the comments given to such clip. This paper presents a method to classify emotion of a Thai media clip on YouTube using the comments given to the clip. Six basic emotions considered are Anger, Disgust, Fear, Happiness, Sadness and Surprise. Performances using three...
In order to realize practical dynamic spectrum access (DSA), implementing spectrum sensing with reasonably low cost is very challenging due to the required detection accuracy and quickness. For this issue, we have introduced an extended DSA, smart spectrum access (SSA), where any useful information in terms of spectrum utilization, such as statistics regarding spectrum utilization, is used not only...
This paper performs a comparative analysis of QRS and Cardioid Graph Based ECG Biometric Recognition incorporating Physiological variability. Data was acquired from 30 subjects, where each subject performed six types of physical activities namely walking, going upstairs, going downstairs, natural gait, lying with position changed and resting while watching TV. Then from the signals of these physiological...
A recommendation system learns a user's interests from her historical purchasing or watching behavior, which is disclosed to the recommendation system inevitably. Such a disclosure raises a serious concern in the public for the leak of users' privacy. For instance, a person who watches a lot of videos which are more preferred by women than men can be inferred as female. Recently, as a response to...
In this paper, we propose an expert search scheme in social networks. The proposed scheme updates a profile by analyzing recent activities, and considers the reliability scores of users and users' ratings that are computed by the updated profile. A user's profile is created by extracting a keyword from the recent activity information and calculating similarity with the keyword. To verify the performance...
This paper presents a formal analysis of multiple popular approximate counting schemes that employ the conservative update policy, such as CU-Sketch and Minimal Increment Spectral Bloom Filters, under a unified framework. It is also shown that when applied to items picked from a skewed distribution, such as Zipf-like functions, the analysis follows very closely empirical results obtained through simulations...
A scheme to improve the indoor localization by estimating heading orientation and step detection is proposed for smartphones. The accuracy can be improved with weighting factors to the accelerometer and gyroscope using the motion estimator.
Compressive sensing (CS) based techniques have been demonstrated to be suitable for UWB based applications to reduce the sampling rate required at the receiver. However, current CS based UWB positioning techniques require high-rate mixing operations to generate the PN sequence to achieve random mixing. This paper proposed a modified CS based implementation that employs relatively low-rate random pre-mixing...
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