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In this work we present a new way to analyze human facial expressions in social situations. We are able to record the smiling expressions of multiple subjects simultaneously using a wireless wearable device that records physiological signals and allows the subjects complete freedom of movement, both of head position and in their environment. We analize the correlation of facial expressions in two...
In this paper, we propose a crowd density estimation algorithm based on multi-class Adaboost using spectral texture features. Conventional methods based on self-organizing maps have shown unsatisfactory performance in practical scenarios, and in particular, they have exhibited abrupt degradation in performance under special conditions of crowd densities. In order to address these problems, we have...
The integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things (SIoT) paradigm, according to which the objects are capable of establishing social relationships in an autonomous way with respect to their owners. The benefits are those of improving scalability in information/service discovery when the SIoT is made of huge numbers of...
Transmission spectra of wet human teeth and dentin slices, together with blood of different flow rates were investigated over a wide spectral range, from visible to terahertz (THz) light. The results make it possible to find the optimum light frequency for an all-optical determination of pulpal blood flow and, consequently, for clinically diagnosis of tooth vitality.
We combine a method for designing composite image filters with interactive genetic programming (IGP). Human subjective tests are used to comparitively evaluate the IGP-based filter design method to a manual filter design method and the multi-stage filtering feature of a software photo-retouching program. The composite image filter has a tree structure, with its nodes consisting of multiple simple...
In recent years, many user-interface devices appear for managing variety the physical interactions. There are the researches with the interface model of body movements in a learning environment. In this paper, we talk about a motion mining supporting system using Microsoft Kinect for educational system developments.
Witnessing and imitating a dance instructor facilitates improved learning opportunities compared with textual, auditory or video reproductions. Learning a complex dance from a verbal description is difficult, as spoken words are slow and cannot encapsulate all the details of a precise maneuver. Unfortunately, in a museum environment, visitors are not afforded the opportunity to become fully immersed...
In the ever growing literature on countering the cyber threat, the so-called JDL model of data fusion, well established in the information fusion community, has been applied to characterize the inner structure of problems within cyber defence and their mutual relationship. The overarching goal is to provide contributions to comprehensive cyber situational awareness by producing timely situation pictures...
Motifs comparison plays a key role in clustering of redundant motifs and mapping motifs to transcription factors from previously characterized motif databases. Most of existed algorithms decompose the similarity of two motifs into the sum of similarities of aligned positions using position-independence assumption. However it is unreasonable to compare two motifs with vast difference in length. In...
The difference between interactive evolution-ary computation (IEC) and traditional evolutionary computation (TEC) is that in IEC individuals' fitness is subjectively assigned by the user, while in TEC the fitness is objectively given by function or others. The user in IEC assigns fitness according to his/her preference. Therefore, if his/her preference drifts, the implicit fitness function for preference...
Web-based language learning (WBLL) environment has provided English education a new arena where learning and teaching activities are vivified by the feats of computer and internet technology. A full development of learner autonomy can conduce to success in web-based English learning. This paper aims to find out ways to improve learner autonomy to achieve Chinese students' success in web-based English...
In this paper, BP (back propagation) neural network is applied to represent and recognize human activities from observed sensor sequences. The proper features for activity recognition are selected. Then, the model of BP neural network for activity recognition is established. The results show that BP neural network can recognize human activity successfully and achieve good recognition accuracy.
We describe a face detection system based on multiscale part models for drivers' fatigue detection. Our system is able to represent human face using two eye areas and one mouth area. By using mulriple simple template instead of single template with complex details, new model observably improved the computational efficiency and veracity for face detection. This system also considers the specialty of...
In large-scale networks, certain topological patterns may occur more frequently than expected from a null model that preserves global (such as the density of the graph) and local (such as the connectivity of each node) properties of the graph. These network motifs are the building blocks of large-scale networks and may confer functional/mechanistic implications of their underlying processes. Despite...
Email communication patterns have been long used to derive the underlying social network structure. By looking at who is talking to who and how often, the researchers have disclosed interesting patterns, hinting on social roles and importance of actors in such networks. Email communication analysis has been previously applied to discovering cliques and fraudulent activities (e.g. the Enron email network),...
In this poster we report our study on the microblog spammers with samples attracted by 50 honeyspots from two popular Chinese microblogging networks: Sina Weibo (weibo.com), and Ten cent Weibo (t.QQ.com) in seven months. We studied their features such as social information, activity, account age and spamming strategy. Several distinguishing characteristics of spammers on these two social network communities...
Human capital accumulation is essentially a kind of consumption behavior which spans one's entire life cycle. In this paper, we first propose a life cycle consumption model for a perfect and then extend it to an imperfect credit market. Our models imply that the personal lifetime funds one owns affect one's personal lifetime earning both in a perfect and an imperfect credit market and there exists...
Universal Networking Language (UNL) is an artificial language for computers to represent human language using graphs. UNL system consists of UNL Ontology, which provides the semantic background for each Universal Words (UWs) or concepts. UNL Ontology includes possible relations between UWs, UWs definition and UNL system hierarchy. UNL Ontology store all these information in a lattice structure, where...
Preference has been included in the dominating economic theory for intensive analysis, as the understanding and explanation of the human action may be passively entrapped to some extent if the actor's preferences are disregarded in the economic behavior research. The supply chain knowledge sharing preference space model is to be constructed based on kinds of actor's preferences analyzed and indicated,...
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