5153 research outputs found
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Power Analysis and Conditional Expectation of CMOS Sensors
No full textFaculty Research Day 2018: Doctoral Student Poster 3rd PlaceOur research currently focusing on image sensors predominantly the sensors implemented using CMOS (Complementary Metal Oxide Semiconductor) technology. These sensors designated as CMOS sensors which were introduced after CCD (Charge-coupled Devices) sensors since CCDs having some drawbacks in terms of its power and making cost compared to CMOS sensors. The most prominent feature of the CMOS sensors is that they can work at low voltage. CMOS sensors need only one supply voltage but CCDs require three to four which makes the cost of the CMOS sensor very low compared to CCD. In this context we concentrated on power consumption of CMOS sensors and corresponding regression analysis applied to obtain the linearity between the input voltage and the power consumed by the sensor in different technical environments. Further research includes the testing of these sensors in terms of their response with respect to the input voltage levels, temperature effects, noise and the conditional expectation among them. Along with that we are computing the parameters in order to characterize the sensor in according with the physical and the logical effects
Learning from the Secret behind Our Failure to Predict Feelings
No full textYasmine Moslih's poster discussing the prediction of feelings
A Multi-Anatomical Retinal Structure Segmentation System For Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding
No full textEye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue to detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and prognosis; ophthalmologists rely heavily on the binary segmented version of retina fundus image; where the accuracy of segmented vessels, optic disc and abnormal lesions extremely affects the diagnosis accuracy which in turn affect the subsequent clinical treatment steps. This thesis proposes an automated retinal fundus image segmentation system composed of three segmentation subsystems follow same core segmentation algorithm. Despite of broad difference in features and characteristics; retinal vessels, optic disc and exudate lesions are extracted by each subsystem without the need for texture analysis or synthesis. For sake of compact diagnosis and complete clinical insight, our proposed system can detect these anatomical structures in one session with high accuracy even in pathological retina images.
The proposed system uses a robust hybrid segmentation algorithm combines adaptive fuzzy thresholding and mathematical morphology. The proposed system is validated using four benchmark datasets: DRIVE and STARE (vessels), DRISHTI-GS (optic disc), and DIARETDB1 (exudates lesions). Competitive segmentation performance is achieved, outperforming a variety of up-to-date systems and demonstrating the capacity to deal with other heterogenous anatomical structures
2018 Health Science Commencement Ceremony May 6, 2018
No full textThis is the 2018 Health Sciences Commencement Ceremony booklet. The commencement speaker was Stephen F. Wiggins, founder and chairman of Remedy Partners and managing director of EW Healthcare Partners
2018 One Hundred Eighth Commencement Ceremony, May 5, 2018
No full textThis is the booklet for the One Hundred Eighth Commencement Ceremony at the University of Bridgeport. The event was held on May 5, 2018 and the commencement address was given by John R. Ciulla, the Chief Executive Officer at Webster bank and he also received an honorary degree - Doctor of Humane Letters
An Eco-Friendly Lifestyle In Your Hands
No full textSociety has begun to be more conscious about the products they consume on a daily basis. People are changing to plant-based diets or vegan lifestyles. The high demand of this market, motivated the idea to develop an eco-friendly and user-friendly app that will make people’s life easier. By combining two concepts that are popular amongst this generation, an app was developed. This app contains all the sources and information one looks for during the transition into an eco-friendly lifestyle
Length Dependent Interactions of Carbon Nanotubes and Surfactant Protein B
Get PDFMolecule dynamics (MD) simulation is a powerful computational tool to study the interaction between two or more molecules. In this poster, we present the interaction of carbon nanotubes (CNT) with surfactant protein B (SPB). SPB is a member of pulmonary surfactant protein family, which contributes to maintain alveolar surface tension. The lack of pulmonary surface tension will lead to collapse of alveoli in infants. This is the leading cause of infant respiratory distress syndrome (IRDS). To develop CNT based biosensor, study of these interactions between sensor material (CNT) and protein (SPB) at atomic level is very important. In practical situation, many protein molecules may surround the sensing element CNT. In this case, protein adsorption on CNT is influenced by CNT-proteins and protein-protein interactions. In addition, different lengths of CNTs also affect the rate of protein adsorption on CNT surface. Results show, as the length of CNT increases also increasing the specific surface area we see greater protein adsorption rate. All protein molecules experience different degrees of conformation change to achieve their stable state on CNT surface
Bitcoin Investment
Get PDFBitcoin (BTC) is hot issue in investment field and finance industry last few years. It is the first decentralized digital current, as the system works without a central bank or single administrator. The network is peer-to-peer and transactions take place between users directly, without an intermediary. Because of decentralized system, bitcoin trading price has high volatility it means high return and high risk. In this work, I did experiment to describe question type is how affect people's decision-making about one condition. Especially, Bitcoin case and why most of people lose money from trading
The Effects of Menthol Concentrations on Germination Rates of Arabidopsis thaliana
Get PDFFaculty Research Day 2018: Undergraduate Student Poster 3rd PlaceMenthol is a toxin found in plants. Arabidopsis thaliana was tested with several different concentrations of menthol to observe whether or not germination and fungal growth would be inhibited due to the menthol
Role of Surface Proteins in Magnetotaxis-based Applications
Get PDFMagnetospirillum magneticum (AMB-1) are a species of magnetotactic bacteria that are capable of orienting along the earth’s magnetic field lines through their organelles called magnetosomes. Many studies have shown that certain engineered-bacteria can infect the tumor cells resulting in a controlled death of a tumor. This work deals with a technique utilizing AMB-1 along a predefined path through magnetotaxis, which can pave a way for selective doping as well as isolation of the tumor cells from a group of healthy cells through a magnetic invasive assay (MIA). For such a control, tiny mesh of vertical electrical coils each having a diameter of ~ 5 mm is fabricated, which establishes the path for the bacteria to move along the magnetic field lines. The molecular dynamics simulations at the interface of the bacterial cell surface proteins (MSP-1 & flagellin) and Chinese Hamster Ovary (CHO) cell surface containing cytoplasmic and extracellular proteins (BSG, B2M, SDC1, AIMP1, and FOS) will establish an association between the invading AMB-1 and the host CHO cells. The experimental demonstration will involve the CHO invasion by the AMB-1 and isolation of selected CHO cells. Statistical analysis along with the relevant electron and force microscopy data will confirm the number of AMB-1 and CHO cells involved before and after invasion and the role of directional control