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Hartford, CT, United States

Panichpapiboon S.,King Mongkuts University of Technology Thonburi | Cheng L.,Trinity College at Hartford
IEEE Transactions on Vehicular Technology | Year: 2013

One approach to the distribution of traffic information in a self-organizing traffic information system is multihop broadcasting. In this approach, each vehicle may simply rebroadcast an information packet that it receives from the others. However, rebroadcasting results in redundant retransmissions of the same information, leading to a useless occupation of the radio channel. Minimizing redundancy, while still guaranteeing reachability in the network, is a challenging task in multihop broadcasting. In our previous work, we introduced a new probabilistic-based broadcasting scheme, i.e., Irresponsible Forwarding (IF) , which could effectively reduce the redundancy. However, in the previous work, we only considered the scenario where the intervehicle spacing was exponentially distributed. In this paper, we generalize the concept of IF such that it can be applied to any intervehicle spacing distribution. In addition, we evaluate the performance of the IF protocol when it is applied in a realistic scenario (i.e., using real traffic traces). This paper shows that the IF protocol is able to limit packet redundancy all hours of the day effectively. © 1967-2012 IEEE.

Schneider C.W.,Trinity College at Hartford
Journal of Phycology | Year: 2010

Recent collections of tetrasporangiate "Heterosiphonia" japonica Yendo from Watch Hill to Point Judith, Rhode Island, represent the first report of this nonnative alga in the western Atlantic. Native to the Pacific Ocean, this species was unintentionally introduced into European waters by 1984 and has subsequently invaded the eastern Atlantic Ocean widely from France to Norway and south into the Mediterranean Sea. Thus far, all western Atlantic collections of this species are confined to the outer coast of Rhode Island, and at present are not found in Narragansett Bay or in Long Island Sound along the Connecticut coast. Molecular and morphological studies confirm the identity of this newly introduced invasive species. © 2010 Phycological Society of America.

Agency: NSF | Branch: Standard Grant | Program: | Phase: Computing Ed for 21st Century | Award Amount: 2.11M | Year: 2013

Trinity College, in partnership with the Hartford Public School System, the Connecticut Chapter of the Computer Science Teachers Association, and other Hartford area high schools, will train approximately 30 Connecticut high school teachers to teach Advanced Placement (AP) computing courses in Connecticut high schools that currently do not teach AP computer science. The course will be based on a mobile Computer Science Principles curriculum, Mobile CSP, which uses the new mobile computing language, App Inventor for Android, to provide a rigorous, programming-based introduction to computational thinking. The main research question addressed is whether the Mobile CSP curriculum is an effective way to teach CS Principles and whether it can serve as one model to help train teachers for the CS 10K project. The curriculum is project-based and takes a constructionist approach to learning computing -- i.e., students learn through constructing their own artifacts and mental models. Student projects will focus on building socially useful, place-based mobile apps using the App Inventor programming language. In this way, student learning will be associated closely with their interests and grounded in their schools, their homes, and their communities. The curriculum, which was developed and tested at Trinity College and the Greater Hartford Academy of Mathematics and Science (GHAMAS) as one of the Phase 2 pilot courses for the College Boards CS Principles project, will be carefully evaluated along several dimensions, including its efficacy at improving programming and problem solving skills and its impact on student and teacher attitudes toward computer science education. The Mobile CSP project has three main goals: (i) To develop a rigorous computer science principles AP curriculum based on mobile computing; (ii) to teach it to Connecticut teachers in 6-week summer workshops; and (iii) to support participating teachers in their effort to implement the AP pilot courses in Connecticut schools that do not currently teach AP computer science. The 2013-2014 cohort of teachers will be drawn primarily from the Hartford school district, a district whose students come mostly from demographic and socio-economic backgrounds that have been underrepresented in computer science. In years two and three the project will expand to other, similarly situated, Connecticut cities and towns.

Agency: NSF | Branch: Standard Grant | Program: | Phase: ANALYSIS PROGRAM | Award Amount: 105.77K | Year: 2014

The goal of this project is to further the research of the principal investigator (PI) in harmonic analysis, a branch of mathematics that is an area of active research and also one that is very important for its applications to a wide variety of problems in physics and engineering. The research will be conducted a Trinity College, a liberal arts college that focuses on undergraduate education but requires its faculty to maintain active research programs. This project will further the development of mathematical research at Trinity. Undergraduate students will be given the opportunity to participate in the project. This will help Trinity expand its undergraduate research programs to include mathematics. Undergraduate research enhances the quality of undergraduate education and better prepares students for advanced work in science, mathematics, and engineering. In particular, the PI (himself a Mexican-American) hopes to recruit women and members of underrepresented minority groups to participate in the research project, thereby increasing diversity in mathematics and the sciences.

In this project the PI will study weighted norm inequalities in harmonic analysis. The goal is to further the recent work of the PI in three closely related areas: Rubio de Francia extrapolation, sharp constant estimates, and two-weight norm inequalities. Recent work by a number of mathematicians, including the PI, on sharp constant estimates with Muckenhoupt weights and extrapolation theory has yielded new results and a number of techniques that should be applicable to additional problems, including endpoint estimates for functions of bounded mean oscillation and extrapolation estimates for matrix weights. These results in turn will yield applications to regularity estimates for degenerate partial differential equations and to the study of variable Lebesgue spaces. The PI will also work on two-weight estimates, particularly on the separated bump conjecture for singular integrals and Riesz potentials.

Agency: NSF | Branch: Standard Grant | Program: | Phase: Campus Cyberinfrastrc (CC-NIE) | Award Amount: 340.66K | Year: 2016

Trinity Colleges Next Generation Science Network and DMZ project dramatically increases institutional interconnectivity and cyberinfrastructure capability to facilitate data-intensive research and teaching opportunities.  The Science DMZ gives researchers and teachers an unfettered direct path to Virtual Research Networks, Connecticut Education Network resources, and Internet2, bypassing legacy control mechanisms and thus allowing for higher speed interconnectivity.  The resource brings the level of connectivity typically found at a large research university into the unique environment of a small liberal arts college.
The network upgrade replaces outdated campus wiring and networking hardware with that capable of 1Gbps for end node connectivity and multiple 10Gbps interconnects to science servers and the Connecticut Education Network (CEN).  This is accomplished with the installation of new routers and switches in the Trinity College (Hartford, CT) campus science complex buildings, as well as upgrades to cyber-border equipment connecting to the Connecticut Education Network (CEN), an Internet2 partner.  The project includes installation of performance-oriented monitoring software (PerfSonar) and will give researchers direct access to IPv6 resources.

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