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MRI: Acquisition of 4G LTE and WiMAX Wireless System to Facilitate Multidisciplinary Research Efforts and Enhance Undergraduate Research Training
No full textThis project, acquiring 4G long term evolution (LTE) and WiMAX wireless system, enables research projects aiming to develop a real-time wireless video surveillance network to evaluate delay tolerant-base content sharing system, to utilize localization and tracking using sensor data, and to enhance health monitoring. The instrument expands the overlapping areas of surveillance networks, content sharing systems, wireless sensor networks, robotics, virtual reality, and health monitoring, specifically fostering research collaboration in these areas. The overall goals for this work include - Training undergraduate and Master?s students in wireless networks research, - Developing hand-on laboratory-based course modules, and - Engaging in outreach efforts. Already, the number of devices exceeds the number of wired Internet connected devices, and the gap continuous growing. This acquisition allows researchers to utilize the strength of wireless networks. The wireless video surveillance network is a sensor network where each node is equipped with camera framing a video scene of the region of interest. High bandwidth of 3G LTE and WiMax can support real-time observation of people and vehicles in a busy environment. On the other hand, the increase in multimedia content makes providing good-quality services in wireless networks a challenging problem. 4G LTE and WiMAX systems have a high bandwidth that can provide reliable service. The instrumentation allows the researchers to configure the 4G LTE and WiMAX wireless system, measure the link performances, (such as RSSOI (receive signal strength indicator), CINR (carry to interference plus noise ratio); and bandwidth on different locations. Additionally, different applications will also be developed. The instrument supports new undergraduate laboratory classroom modules and STEM recruiting and outreach efforts. The instrumentation can be used in courses such as High Speed Network to provide a quantitative exercise in network configuration and testing. The institution also strives to increase representation of underrepresented minorities within the student population trough mechanisms such as AIM (Academically Interested Minds). The students gain experience in various aspects of multimedia communication and wireless and,in harmony with the REU site program and college-level undergraduate research incentive program, undergraduates will be integrated into respective research programs. Training will also be offered to a broader body of students at the institution and beyond and underrepresented students will be sought. While disseminating the novel principles and methods of multimedia communication developed, an undergraduate research program on the topic will also be established
Injury Sources for Second Row Occupants in Frontal Crashes Considering Age and Restraint Condition Influence
No full textThe current study examined field data in order to document injury rates, injured body regions, and injury sources for persons seated in the second row of passenger vehicles. It was also intended to identify whether these varied with respect to age and restraint use in vehicles manufactured in recent years. Data from the 2007-2012 National Automotive Sampling System (NASS/CDS) was used to describe occupantsseated in the second row of vehicles in frontal crashes. Injury plots, comparison of means and logistic regression analysis were used to seek factors associated with increased risk of injury. Restraint use reduced the risk of AIS ≥ 2 injury from approximately 1.8% to 5.8% overall. Seventy nine percent of the occupants in the weighted data set used either a lap and shoulder belt or child restraint system. The most frequently indicated injury source for persons with a MAIS ≥ 2 was “seat, back support”, across restraint conditions and for all but the youngest occupants. The factors most strongly associated with injury risk in the crash dataset were the velocity difference (delta V) and age, which had significant association with injury risk in restrained occupants of the second row. These data suggest that prevention of injurious contact with the back of the front seat may be an important factor in efforts to reduce the injury rate in second row passengers regardless of age and restraint condition
2015 Program Audit Form
No full textProgram Audit Form summarizes the visit team\u27s initial assessment of each program being considered for accreditation and/or extension of accreditation by ABET
A Simple Analytical Model of Laser Bending Process
No full textLaser bending is a process of bending a sheet by the irradiation of laser beam on the surface of the sheet. A number of analytical and numerical methods have been proposed for the estimation of bend angle. A brief review of these methods is presented. A finite element analysis of laser bending process is carried out with ABAQUS package for the purpose of understanding the physics of the laser bending. Afterwards, a simple analytical model is developed to evaluate the bending angle in laser bending of metal sheet. The model is based on the elastic-plastic bending of sheet. It is ascertained from the experimental results available in literature that the model provides reasonably good prediction of bend angle. It is also shown that the model can be used for the quick estimation of yield stress of the material during laser bending process
Adjustable Jig and Method for Targeting Interlocking Holes of an Intramedullary Nail
Get PDFA targeting jig apparatus for targeting interlocking holes of an intramedullary nail. The targeting jig includes a support-arm extending substantially parallel to the intramedullary nail. A targeting mechanism including a pair of targeting mechanism drioll-guide orifices is adjustably disposed on the support arm for aligning the targeting mechanism drilol-guide orifice with the interlocking holes of the intramedullary nail. The targeting mechanism includes a saddle having a U-shape including a base and parallel legs that are slidable along the support-arm. A connection mechanism includes a horizontal slot on the support-arm aligned with a vertical slot on the targeting mechanism and a pivot screw extending through the slots for facilitating adjustment of the targeting mechanism relative to the support arm
Electrospun Cellulose Nitrate and Polycaprolactone Blended Nanofibers
No full textPure cellulose nitrate (CN) and blends of CN and polycaprolactone were electrospun to form nonwoven mats. Polymers were dissolved in a mixed solvent system of tetrahydrofuran and N,N-dimethylformamide. The concentrations were varied to obtain sub-micron and nanoscale fiber mats. Fiber mats were analyzed using scanning electron microscopy, contact angle analysis, Fourier transform infrared spectroscopy and thermal gravimetric analysis. The fiber morphology, surface chemistry and contact angle data show that these electrospun materials are suitable for applications including biosensing, biomedical and tissue engineering
Stochastic Optimal Control for Online Seller under Reputational Mechanisms
Get PDFIn this work we propose and analyze a model which addresses the pulsing behavior of sellers in an online auction (store). This pulsing behavior is observed when sellers switch between advertising and processing states. We assert that a seller switches her state in order to maximize her profit, and further that this switch can be identified through the seller’s reputation. We show that for each seller there is an optimal reputation, i.e., the reputation at which the seller should switch her state in order to maximize her total profit. We design a stochastic behavioral model for an online seller, which incorporates the dynamics of resource allocation and reputation. The design of the model is optimized by using a stochastic advertising model from [1] and used effectively in the Stochastic Optimal Control of Advertising [2]. This model of reputation is combined with the effect of online reputation on sales price empirically verified in [3]. We derive the Hamilton-Jacobi-Bellman (HJB) differential equation, whose solution relates optimal wealth level to a seller’s reputation. We formulate both a full model, as well as a reduced model with fewer parameters, both of which have the same qualitative description of the optimal seller behavior. Coincidentally, the reduced model has a closed form analytical solution that we construct