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Elastic systems utilize both human and machine working units to accomplish tasks that are eligible for crowdsourcing. The quality in the results of work completed by either type of computing unit is tantamount on the characteristics they bear. In this paper we draw parallels from our previous work into looking at the suitability of working units in completing viable tasks in crowdsourcing. We seek...
We integrate heterogeneous terminologies into our category-theoretic model of faceted browsing and show that existing terminologies and vocabularies can be reused as facets in a cohesive, interactive system. Commonly found in online search engines and digital libraries, faceted browsing systems depend upon one or more taxonomies which outline the structure and content of the facets available for user...
The maturity of the smartphone and the World Wide Web (www) technologies have driven many social network applications which have facilitated people to share text and multimedia contents. The social networks that facilitate users to share the check-in (location visit) information are known as the location-based social networks (LBSN)s and provide various information for a recommendation problem that...
The lasting popularity of many social Q&A websites, such as Yahoo! Answers and ResearchGate, has become valuable knowledge repositories for people to search for answers to questions in various aspects in life. Finding the most relevant questions is often a non-trivial task, and a fine-grained classification system of questions will be an important aid. Existing work mainly focused on classifying...
The data streams in many applications are characterized by imbalanced class distribution. The pattern in data streams may also change over time and therefore, the classification model should be adjusted to maintain performance. Hence, a new set of labeled samples should be provided which is not an easy task, since labeling is expensive and time consuming. In this paper, we propose Reduced Labeled...
Using Petri nets (PNs) to model complex systems allows for analysis and increased comprehension of the system itself. PNs can be used to show the logic behind a system or to create a visual representation of the steps a system will take. Although this alone can be useful, there are some areas in which normal PNs fail, in these cases introducing time into the nets can open the modeling possibilities...
Relationship Based Access Control (ReBAC) has been recognized as a distinctive form of access control since the advent of online social networks (OSNs). In the OSN context, ReBAC typically expresses authorization policy in terms of interpersonal relationship between users. OSN-inspired ReBAC models primarily focus on user-to-user relationships, although some have also considered user-to-resource and...
The Florida Public Hurricane Loss Model (FPHLM) is a public catastrophe model that integrates and regulates all key components, such as meteorology, engineering, and actuarial components, by following a certain workflow in the execution phase. The validation phase governed by an Automatic Data Validation (ADV) program simulates each modeled execution component with a large number of historical insurance...
There has been an increasing number of cyber-physical systems (CPSs) in the last decade. CPSs sometimes include wireless networks that incur delay and errors. In this paper, we have developed an integrated design approach to combine control system and faulttolerant wireless network design for an advanced, hightemperature, small, modular nuclear reactor (SMR). Our design approach is composed of two...
Catastrophes have caused tremendous damages in human history and triggered record high post-disaster relief from the governments. The research of catastrophic modeling can help estimate the effects of natural disasters like hurricanes, floods, surges, and earthquakes. In every Atlantic hurricane season, the state of Florida in the United States has the potential to suffer economic and human losses...
Pairs of agents, called dyads or ego-alter pairs, meet, develop and dissolve within the confines and provisions of the built environment. Within the environment, dyads transfer and receive information from one another and the external world and use this information to (re) evaluate their inclination toward the relationship. Thus, any active dyadic relationship can be represented by three states: colocating...
Mining user reviews to discover what the user likes and dislikes is vital to understanding user behaviors. Topic modeling techniques have been extensively used to discover meaningful topics for user reviews and to discover user behaviors. Extracted topics may be a mixture of different concepts and hence very likely to be less coherent and unclear, especially when extracting a relatively small number...
Numerous classification algorithms have been developed for a variety of data types. However, it is nearly impossible for one classifier to perform the best in all kinds of datasets. Therefore, ensemble learning models which aim to take advantages of different classifiers have received a lot of attentions recently. In this paper, a scalable classifier ensemble framework assisted by a set of judgers...
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