UNH School of Law IP Library: 20th Anniversary Reflection on the Only Academic IP Library in the United States

[Excerpt] The UNH School of Law Intellectual Property Library celebrates its twentieth anniversary this year. It is a fortuitous time for this look back and for strategic considerations for the future. This anniversary comes at a time in the history of legal education when conditions over the past few years have intensified the analysis of mission and resources for law school libraries. This article is a retrospective review of the history and dynamics surrounding the founding and first twenty years of growth. It is also an analysis of the future growth and mission of the IP Library during times that demand more strategic vision, taking into consideration the explosion of information, formats, scope of intellectual property (IP) and allied areas of practice, competitor IP programs at other U.S. law schools, and greater scrutiny of expenses of U.S. law school libraries generally

An Efficient hardware implementation of the tate pairing in characteristic three

DL systems with bilinear structure recently became an important base for cryptographic protocols such as identity-based encryption (IBE). Since the main computational task is the evaluation of the bilinear pairings over elliptic curves, known to be prohibitively expensive, efficient implementations are required to render them applicable in real life scenarios. We present an efficient accelerator for computing the Tate Pairing in characteristic 3, using the Modified Duursma-Lee algorithm. Our accelerator shows that it is possible to improve the area-time product by 12 times on FPGA, compared to estimated values from one of the best known hardware architecture [6] implemented on the same type of FPGA. Also the computation time is improved upto 16 times compared to software applications reported in [17]. In addition, we present the result of an ASIC implementation of the algorithm, which is the first hitherto

Actuator and sensor fault estimation based on a proportional-integral quasi-LPV observer with inexact scheduling parameters

© 2019. ElsevierThis paper presents a method for actuator and sensor fault estimation based on a proportional-integral observer (PIO) for a class of nonlinear system described by a polytopic quasi-linear parameter varying (qLPV) mathematical model. Contrarily to the traditional approach, which considers measurable or unmeasurable scheduling parameters, this work proposes a methodology that considers inexact scheduling parameters. This condition is present in many physical systems where the scheduling parameters can be affected by noise, offsets, calibration errors, and other factors that have a negative impact on the measurements. A H8 performance criterion is considered in the design in order to guarantee robustness against sensor noise, disturbance, and inexact scheduling parameters. Then, a set of linear matrix inequalities (LMIs) is derived by the use of a quadratic Lyapunov function. The solution of the LMI guarantees asymptotic stability of the PIO. Finally, the performance and applicability of the proposed method are illustrated through a numerical experiment in a nonlinear system.Peer ReviewedPostprint (author's final draft

Reproductive value, the stable stage distribution, and the sensitivity of the population growth rate to changes in vital rates

The population growth rate, or intrinsic rate of increase, measures the potential rate of growth of a population with specified and fixed vital rates.The sensitivity of population growth rate to changes in the vital rates can be written in terms of the stable stage or age distribution and the reproductive value distribution. If the vital rate measures the rate of production of one type of individual by another, then the sensitivity of growth rate is proportional to the reproductive value of the destination type and the representation in the stable stage distribution of the source type. This formal relationship exists in three forms: one limited to age-classified populations, a second that applies to stage- or age-classified populations, and a third that uses matrix calculus. Each uses a different set of formal demographic techniques; together they provide a relationship that beautifully cuts across different types of demographic models.matrix population models, population growth, senescence, sensitivity