University of North Carolina at Charlotte

About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.

Truthful multicast routing in selfish wireless networks

Abstract: In wireless networks, it is often assumed that each individual wireless terminal will faithfully follow the prescribed protocols without any deviation-- except, perhaps, for a few faulty or malicious ones. Wireless terminals, when owned by individual users, will likely do what is the most beneficial to their owners, i.e., act "selfishly". Therefore, an algorithm or protocol intended for selfish wireless networks must be designed.In this paper, we specifically study how to conduct efficient multicast routing in selfish wireless networks. We assume that each wireless terminal or communication link will incur a cost when it transits some data. Traditionally, the VCG mechanism has been the only method to design protocols so that each selfish agent will follow the protocols for its own interest to maximize its benefit. The main contributions of this paper are two-folds. First, for each of the widely used multicast structures, we show that the VCG based mechanism does not guarantee that the selfish terminals will follow the protocol. Second, we design the first multicast protocols without using VCG mechanism such that each agent maximizes its profit when it truthfully reports its cost.Extensive simulations are conducted to study the practical performances of the proposed protocols regarding the actual network cost and total payment.

Time synchronization in wireless sensor networks: A survey

Abstract: Wireless sensor networks consist of small devices distributed over geographical area. Each one of these devices has sensing, computing, and communicating components. Wireless sensor networks are used in many applications where partial or full time synchronization in the network is required. Time synchronization aims at equalizing the local times for all nodes in the network, if necessary. Since wireless sensor networks are limited in energy resources, computation capability, storage capacity, and bandwidth, traditional time synchronization algorithms like Network Time Protocol (NTP) and Global Positioning System (GPS) are impractical to synchronize the network. This paper explains the time synchronization problem in wireless sensor networks and details the basic algorithms proposed in this area.

Data Mining for Hierarchical Model Creation

Abstract: In this paper, we examine the problem of learning inhabitant behavioral models in intelligent environments. We maintain that inhabitant interactions in smart environments can be automated using a data-driven approach to generate hierarchical inhabitant models and learn decision policies. To validate this hypothesis, we have designed the ProPHeT decision-learning algorithm that learns a strategy for controlling a smart environment based on sensor observation, power line control, and the generated hierarchical model. The performance of the algorithm is evaluated using real data collected from our MavHome smart home and smart office environments.

Design and fabrication of a metastable β-type titanium alloy with ultralow elastic modulus and high strength

Abstract: Titanium and its alloys have become the most attractive implant materials due to their high corrosion resistance, excellent biocompatibility and relatively low elastic modulus. However, the current Ti materials used for implant applications exhibit much higher Young’s modulus (50 ~ 120 GPa) than human bone (~30 GPa). This large mismatch in the elastic modulus between implant and human bone can lead to so-called “stress shielding effect” and eventual implant failure. Therefore, the development of β-type Ti alloys with modulus comparable to that of human bone has become an ever more pressing subject in the area of advanced biomedical materials. In this study, an attempt was made to produce a bone-compatible metastable β-type Ti alloy. By alloying and thermo-mechanical treatment, a metastable β-type Ti-33Nb-4Sn (wt. %) alloy with ultralow Young’s modulus (36 GPa, versus ~30 GPa for human bone) and high ultimate strength (853 MPa) was fabricated. We believe that this method can be applied to developing advanced metastable β-type titanium alloys for implant applications. Also, this approach can shed light on design and development of novel β-type titanium alloys with large elastic limit due to their high strength and low elastic modulus.

Dimensions of Masculinity: Relations to Date Rape Supportive Attitudes and Sexual Aggression in Dating Situations

Abstract: Sexual assault in general and date rape in particular are major issues for practitioners, educators, and researchers in counseling. This study sought to extend and refine existing research on the links between masculine gender roles and date rape by exploring 3 masculinity-related constructs that, until recently, have received relatively little attention in the context of rape research: masculinity ideology, attitudes toward feminism, and homophobia. In general, combinations of masculinity-related constructs were found to predict self-reported acceptance or perpetration of sexually coercive behaviors. Specifically, multiple regression analyses revealed that attitudes toward feminism and various, specific dimensions of masculinity ideology (vs. a global assessment, as in previous research) predicted unique variance in several types of date rape-supportive attitudes and beliefs: the Facade/Counterdependence dimension of masculinity ideology also predicted unique variance in self-reported history of sexual coercion. Implications for prevention, education, and future research are discussed.