Diabetes or Diabetes Mellitus (DM) is the upset that happens due to high glucose level within the body. With the passage of time, this polygenic disease creates eye deficiency referred to as Diabetic Retinopathy (DR) which can cause a major loss of vision. The symptoms typically originate within the retinal space square in the form of enlarged veins, liquid dribble, exudates, haemorrhages and small scale aneurysms. In current therapeutic science, pictures are the key device for an exact finding of patients' illness. Meanwhile, an assessment of new medicinal symbolisms stays complex. Recently, Computer Vision (CV) with deep neural networks can train models with high accuracy. The thought behind this paper is to propose a computerized learning model to distinguish the key precursors of Dimensionality Reduction (DR). The proposed deep learning framework utilizes the strength of selected models (VGG and Inception V3) by fusing the extracated features. To select the most discriminant features from a pool of features, an entropy concept is employed before the classification step. The deep learning models are fit for measuring the highlights as veins, liquid dribble, exudates, haemorrhages and miniaturized scale aneurysms into various classes. The model will ascertain the loads, which give the seriousness level of the patient's eye. The model will be useful to distinguish the correct class of seriousness of diabetic retinopathy pictures.
One of the problems that many engineering graduates face when looking for their first job is: do you have experience? Employers prefer graduates with relevant experience to those without. Why is experience so important to employers? Can students accumulate “working” experience while studying in college? This paper discusses the use of design projects inside and outside of classrooms to help students gain “working” experience and skills through hands-on design activities that simulate the actual design activities that occur in the industry. Faculty members from the Mechanical Engineering Technology and Computer Engineering Technology departments were involved in creating multidisciplinary design projects. The design projects give students new insights into what they learn in their coursework and provide students the valuable experiences in analytical skills, concurrent engineering approach, people skills, and management skills needed for the students when looking for employment.
earned his master's in mechanical engineering from the City College of New York in 1987 and his Ph.D. in mechanical engineering from the Graduate Center of the City University of New York in 1995. Prior joining the Mechanical Engineering Technology department at City Tech, he served as an engineering instructor for the JUMP, an engineering training program sponsored by the New York State Department of Transportation. Professor Zhangs research area includes materials testing, composite materials, CAD/CAE, mechatronics, and engineering animation.
earned his bachelor's degree from Providence College (Providence, R.I.) with double majors in the pre-engineering program and mathematics. In addition, he earned another bachelor's degree from Columbia University (New York, N.Y.) in mechanical engineering, master's in applied mathematics from Western Michigan University (Kalamazoo, Mich.), and his Ph.D. in computational and applied mathematics from Old Dominion University (Norfolk, Va.). Before joining the EMT/CET Department at City Tech in fall of 2007, he was a faculty member and Chair of the CET department at DeVry Institute of Technology (Long Island City, N.Y.). He worked as a researcher for NASA-Langley Base in Hampton, Va., for two years. His research activities include embedded systems, software development for embedded systems with real time simulation, real time gaming simulation programming, and web application programming.
When performing an endoscopic procedure, it is possible that a loop might be formed by the endoscopic tubing inside the patients body. This condition is potentially dangerous and poses a threat to the safety of the patient if the doctor who performs the procedure is unaware of the situation. This paper presents a technique for detecting the formation of an endoscopic loop using fiber optics technology. A custom-made loop detecting device using different configurations of optical fiber wires was developed. The effectiveness of each configuration in detecting the formation of a loop was studied.This loop detecting device was designed such that it can be embedded into an endoscope without increasing the diameter of the endoscopic tubing. If a loop is detected, the device can transmit a warning signal so the doctor who performs the endoscopic procedure can adjust his or her operation to avoid harming the patient.
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