University of Memphis

About: University of Memphis is a education organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7710 authors who have published 20082 publications receiving 611618 citations. The organization is also known as: U of M.

A blockchain-based reputation system for data credibility assessment in vehicular networks

Abstract: The security of vehicular networks has been paid increasing attention to with the rapid development of automobile industry and Internet of Things (IoT). However, existing approaches mainly focus on ensuring data authentication and integrity, which are not sufficient to assess the credibility of received messages. Recently, reputation systems are proved to be effective approaches to solve the above problem. This paper proposes a new reputation system for data credibility assessment based on the blockchain techniques. In this system, vehicles rate the received messages based on observations of traffic environments and pack these ratings into a “block”. Each block is “chained” to the previous one by storing the hash value of the previous block. Then, a temporary center node is elected from vehicles and it is responsible for broadcasting its rating block to others. Based on ratings stored in the blockchain, vehicles are able to calculate the reputation value of the message sender and then evaluate the credibility of the message. Simulation results reveal that the proposed system is reliable in collecting, validating, and storing reputation information in vehicular networks.

A Paradigm for Landscape Aesthetics

Abstract: This article resolves the conflict between biological and cultural explanations of aesthetic behavior that is evident in the landscape aesthetics literature. In resolving that conflict, the article...

Experimental Verification of the Importance of The Nonlinear Curvature in the Response of a Cantilever Beam

Abstract: An experimental and theoretical investigation into the first- and second-mode responses of a parametrically excited slender cantilever beam is presented. Inclusion of quadratic damping in the analytical model significantly improves the agreement between the experimental and theoretical results. In addition, the experimental results verify that the often ignored nonlinear curvature terms play a dominant role in the response of the first mode and that the nonlinear inertia terms play a dominant role in the response of the second mode.

What do we know about mechanical strain in lung alveoli

Abstract: The pulmonary alveolus, terminal gas-exchange unit of the lung, is composed of alveolar epithelial and endothelial cells separated by a thin basement membrane and interstitial space. These cells participate in the maintenance of a delicate system regulated not only by biological factors but also by the mechanical environment of the lung, which undergoes dynamic deformation during breathing. Clinical and animal studies as well as cell culture studies point toward a strong influence of mechanical forces on lung cells and tissues including effects on growth and repair, surfactant release, injury, and inflammation. However, despite substantial advances in our understanding of lung mechanics over the last half century, there are still many unanswered questions regarding the micromechanics of the alveolus and how it deforms during lung inflation. Therefore, the aims of this review are to draw a multidisciplinary account of the mechanics of the alveolus on the basis of its structure, biology, and chemistry and to compare estimates of alveolar deformation from previous studies.

Extracting web user profiles using relational competitive fuzzy clustering

Abstract: The proliferation of information on the World Wide Web has made the personalization of this information space a necessity. An important component of Web personalization is to mine typical user profiles from the vast amount of historical data stored in access logs. In the absence of any a priori knowledge, unsupervised classification or clustering methods seem to be ideally suited to analyze the semi-structured log data of user accesses. In this paper, we define the notion of a "user session" as being a temporally compact sequence of Web accesses by a user. We also define a new distance measure between two Web sessions that captures the organization of a Web site. The Competitive Agglomeration clustering algorithm which can automatically cluster data into the optimal number of components is extended so that it can work on relational data. The resulting Competitive Agglomeration for Relational Data (CARD) algorithm can deal with complex, non-Euclidean, distance/similarity measures. This algorithm was used to analyze Web server access logs successfully and obtain typical session profiles of users.