University of Bridgeport

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    5153 research outputs found

    Data Mining Techniques on Traffic Violations

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    This paper describes use of Data mining techniques used to model traffic accidents detection. It is done by determing the blackspots by using Association Rule Mining and Clusterization algorithm. It helps to ascertain the traffic violation patterns and blackspot of traffic violations. We looked into K-means clustering with some enhancements to aid in the process of identification of patterns and blackspots. We applied these techniques to real traffic data extracted from the Montgomery County of Maryland and validated our results. We also developed a prioritized scheme for attributes here to deal with the limitations of various out of the box clustering methods and ways. This easy to implement data mining framework works with the geo-spatial plot of blackspots and helps to improve the road accidents zones

    Propose & Design an Automated Mechanical System for Capping and Water Level Measurement of Water Bottle

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    The purpose of this poster is to develop an automated production layout along with its design for above mentioned subject. The research work includes designing the fixture for holding the bottle while capping and three-finger self-centering gripper for placing and moving the bottle to and fro from guideways to the bottle bottom holder and vice versa. Suggesting an automated system and technology for checking the water level in bottle and effectively removing such bottles from assembly line would also be one of the objectives of this poster. Tools like automated torque wrench, precision indexing conveyor belts, three-finger self-centering grippers, three-jaw chuck (bottle holding fixture), infrared level detection sensors have been used in this system. FEA analysis of three-finger gripper and three-jaw chuck is done to verify their design. The components of this system are designed using Creo Parametric 2.0. Designed components are analyzed using ANSYS Workbench 16.0

    COMSOL Simulation of Bio-MEMS Rotating Microfluidic Mixer

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    Microfluidic flows in MEMS devices are generally laminar flows, hence the mixing is difficult. To improve the mixing of microfluidic flows, a passive or active micromixer device is needed. In this poster, the design and simulation of a Bio-MEMS rotating microfluidic mixer is proposed. The micromixer takes three input flows and generates one output flow. A rotating blade is used to stir the microfluid inside the mixer to introduce extra turbulence, hence resulting in better mixing outcome. Compared to passive micromixer, the proposed active rotating micromixer leads to better mixing efficiency. The microfluidic mixer is designed and simulated in COMSOL. COMSOL simulation reveals the mixing mechanism of the microfluid flows. Based on the analysis, a set of optimized design parameters of the micromixer is achieved. The proposed micromixer can be used for micro drug delivery system, lab-on-a-chip and other biomedical applications

    Converged Network Architecture to overcome network virtualized decoupling

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    after network virtualized through the Overlay technology, making decoupling of the application and the physical network, but the network and calculation is independent from each other, the current network architecture still cannot achieve the linkage of the network and Virtual machine in this paper, based on particular experience we suggest of guidance or roadmap of converged network to overcome any issue on virtual networ

    Analysis of the Structural Evolution of Graphene-CNT-Polypyrrole Nanocomposite

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    The following work reports the evolution of the formation of polypyrrole (PPy) chains and it's intercalation with graphene-carbon nanotubes (G-CNT) nanocomposites. Experiments were carried out to demonstrate the growth of pyrrole through polymerization and its interaction with G-CNT using Cyclic Voltammetry (CV) for 5 – 50 cycles. The interface analysis of the nanocomposite was carried out through SEM. The G-CNT-PPy nanocomposite has shown potential to be used as a supercapacitor which can be further substantiated by CV experiments

    Multidimensional Bio-printing Using Hydrogel Suspension

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    Biological printing (bio-printing) is a process used by tissue engineers to efficiently produce living tissue and organs. Current methods of bio-printing rely on standard three axis 3D printing techniques using free standing printed structures, which limits the ability to print multidimensional soft tissue structures. In order to overcome this limitation we have developed a system capable of printing into a biocompatible, degradable, hydrogel substrate, which acts as the supportive material for biological inks (bio-inks). We have also created our own hydrogel based bio-ink, capable of solidifying and maintaining its printed structure within the substrate. Our bio-printer also features a new technique for angular printing, allowing any necessary material to be added to the printed structure from any angle, without disturbing the structure

    Zone Routing Protocol (ZRP) - A Novel Routing Protocol For Vehicular Adhoc Networks

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    This Paper discusses about the capability of the current routing protocol of MANET for VANET. VANET is derived from MANET and it is a network consisting of vehicles, which can communicate between them wirelessly. In high traffic conditions the message should deliver correctly between the vehicles and the communication is established with the help of Road side Units. A dynamic topology with mobility patterns and different channel time behavior characterize VANETs. The network traffic requirements differ for VANET. In this paper, w Zone routing Protocol (ZRP) is utilized to improve the parameters of VANET like less communication delay and delivering the messages on time compared to AODV and DSR protocols while the vehicles are moving at high speeds. The results are obtained by simulation using a simulation scenario

    Localization and Mobility of Underwater Acoustic Sensor Nodes

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    The Underwater Acoustic Sensor Network (UASN) is a network which consists of underwater wireless sensor nodes distributed randomly over the certain area of observation and communicate with each other using acoustic signals. UASN can be used in a wide variety of underwater applications, ranging from marine biology surveillance to earthquake and tsunami alert applications. Despite the fact that sensor networks are meant to collect data, in some applications, collection of data without a location of the occurrence becomes incoherent. Hence, localization for UASN has become an enthralling research topic in the recent years. However, there are several disadvantages of acoustic channel like propagation delay, limited energy sources, high bit error rate, and limited harvesting techniques underwater make the localization of UASN very challenging. Therefore, in this paper we have proposed a distributed localization scheme which employs two-way time of arrival estimation method to calculate distance and avoid the requirement of time synchronization.https://doi.org/10.1109/CT-IETA.2016.786824

    UB Highlights Vol. 13, No. 16

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    The UB Highlights newsletter for October 1-15, 2016

    Ecology of the Broom Crowberry (Corema conradii) a Pine Barren Perennial

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    Conrad's Broom-Crowberry (Corema conradii) is found in both the meadow and forest habitats of the New Jersey Pine Barrens.  The Crowberry grows best in well-drained soils with an acidic pH. Wild fires have a significant effect on the growth of its native wild life. Pine barren habitats are subject to frequent wildfires, however the meadow habitat is burned annually as part of the management of the Pine Barrens wilderness. Hypotheses: 1. The meadow being the most recently burned habitat in the Pine Barrens, is expected to exhibit a soil with a low water concentration and an acidic pH. 2. The average diameter and area of the Conrad's Broom-Crowberry (Corema conradii) plants found in the meadow habitat will be larger than those found in the undisturbed forest

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