Description: This paper discusses anchor nodes placement for effective passive localization. Abstract: In many applications, the exact location of the sensor nodes is unknown after deployment. Localization is a process used to locate sensor nodes' positional coordinates, which is vital information. The localization is generally assisted by anchor nodes that are also sensor nodes but with known locations. Anchor nodes generally are expensive and need to be optimally placed for effective localization. Passive localization is one of the localization techniques where the sensor nodes silently listen to the global events like thunder sounds, seismic waves, lighting, etc. According to previous studies, the ideal location to place anchor nodes was on the perimeter of the sensor network. This may not be the case in passive localization, since the function of anchor nodes here is different than the anchor nodes used in other localization systems. The authors do extensive studies on positioning anchor nodes for effective localization. Several simulations are run in dense and sparse networks for proper positioning of anchor nodes. The authors show that, for effective passive localization, the optimal placement of the anchor nodes is at the center of the network in such a way that no three anchor nodes ...

Description: This paper discusses enhancing the undergraduate research experience in a senior design context. Abstract: This paper presents an instructional framework developed by the authors that engages senior students in a 5-credit Research and Development course incorporating project development, implementation, entrepreneurship, innovation, creativity, teamwork, and communication. The paper discusses the development and accomplishments of the course over the past four years in the context of the Quality Enhancement Plan (QEP) - an initiative at the University of Houston intended to encourage the development and enhancement of undergraduate research skills. The philosophy behind the course is to provide training and real world, small-scale project experience through the completion of a full-project lifecycle from conceptualization to prototype. Brief discussion of those projects that resulted in provisional patents, refereed journal publications, and conference presentations will be given. Some of the features of the course, such as University and industry guest speaker series and final project evaluation by the department's Industrial Advisory Board, leading professionals, faculty, technical staff and peers will be examined. The paper concludes by outlining a set of short term and long term goals for the future direction of the course.

Description: This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and legal documents. The authors present a study that explores the summary space of each domain via an exhaustive search strategy, and finds the probability density function (pdf) of the ROUGE score distributions for each domain. The authors then use this pdf to calculate the percentile rank of extractive summarization systems. Their results introduce a new way to judge the success of automatic summarization systems and bring quantified explanations to questions such as why it was so hard for the systems to date to have a statistically significant improvement over the lead baseline in the news domain.

Description: In this paper, the authors describe the SemEval-2010 Cross-Lingual Lexical Substitution task, where given an English target word in context, participating systems had to find an alternative substitute word or phrase in Spanish. The task is based on the English Lexical Substitution task run at SemEval-2007. In this article, the authors provide background and motivation for the task, the authors describe the data annotation process and the scoring system, and present the results of the participating systems.