5153 research outputs found
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Secure Data Aggregation Model (SDAM) in Wireless Sensor Networks
No full textNowadays, Wireless Sensor Networks (WSN’s) are becoming more and more promising and applicable to a variety of fields: military, environmental, medical, wild life habitat, and transportation as well wearable devices, target-tracking. WSN are expected to be a main player in the Internet of Things technology. Power management is very important factor in considering WSN’s and it has been demonstrated that communication cost is higher than the computational as nodes consume most of the energy in communication. Added to the fact that sensors could be closely deployed and report the same reading, the data aggregation concept was introduced to resolve those issues and for the sake of better performance at a reduced cost. Nonetheless, sensing devices are prone to failure due to several aspects such as node failure or low batteries as well as being compromised. In this paper, we are introducing a novel method Secure Data Aggregation Model (SDAM) aiming at assuring a secure aggregate communication at a low cost (in terms of resources). Our simulation results showed that implementing SDAM resulted into an increase in the energy efficiency as well as a considerable reduction in cross-layering overhead
Real-time Robot Control Using Leap Motion Technology
No full textUnlike pre-programmed controlling, real-time control of a 6-DOF manipulator is a complex task which involves physical interaction with a traditional manual controller clustered with numerous joysticks. This take lot of joystick movements in order to bring the robotic arm to a position followed by an action with the end-effector. Using the latest technology in human computer interaction, i.e. Leap Motion, we can reduce the complexity of this task to minimum effort by making the robotic arm mimic human hand in real time
Functional Protein detection for DNA Mismatch Repair: A Novel Nano-biosensor for Cancer Diagnostics
No full textCancer currently stands as the second-leading cause of death worldwide. Studies reveal colorectal cancer (CRC) to be the 4th leading cause of mortality due to cancer. It is estimated that about 30% of CRC cases are hereditary, of which 5% are attributed by known syndromes, particularly Lynch Syndrome. Lynch Syndrome (LS) is caused by loss or malfunction of proteins responsible for DNA mismatch repair proteins (MMR), mostly MLH1 and MSH2, causing increased risks of developing CRC. Despite the small percentage accounted with the disease, the severity of the illness still remains immense since 80% of these patients eventually develop CRC and an overwhelming 40-60 % of female patients develop endometrial cancer, the major of cancer in women in developing nations. Current diagnostic procedures for LS involve testing tumor tissue for microsatellite instability and the presence/absence of MMR proteins by immunohistochemistry (IHC), followed by germine testing for mutations in MMR genes, if warranted. While genetic testing is becoming more cost-effective and accessible, a major problem with this approach is that the functional and pathological consequences of a majority of mutations and small insertions/deletions in MMR genes are unknown, rendering the tests results inconclusive in many cases. Therefore the need for an accurate means of early diagnosis is clearly imminent to prevent the growing threat. This pilot study aims to fabricate a DNA-graphene-polypyrole (DGP) based biosensor to diagnose deficiency of functional MMR proteins present in patients at a scale of less than ng/ ml. Biotinylated DNA probes are immobilized on an avidin film coated over a polypyrole-graphene layer, which in turn is finely deposited over a gold-plated circuit using electrochemical polymerization technique. A detailed morphological characterization has been performed using both scanning electron microscope (SEM) and atomic force microscope (AFM) topography of the DGP biosensor. Quantitative analysis is performed by measuring electrochemical impedance spectroscopy (EIS) where the change in impedance of the samples is recorded by varying frequency between 1MHz- 100 MHz. Though still a work in progress, we assume that the attachment of the MMR proteins onto the mismatched sequences should alter the impedance of the fabricated DGP biosensor. A final analysis is being conducted to confirm our assumptions
War of Hashtags and Hackers: Who Won the Online Battle?
No full textAfter the latest Israel-Hamas War in 2014; there was another battle taking place between those who support the Hamas and Gaza, and those who support Israel.This research paper discusses that battle which took place in the cyber world on social media. The paper shows how strong was the impact of social media activists and Anonymous hackers who were involved in the psychological warfare side-by-side with the physical one against Israel. The Paper addresses this hypothesis with three main points: the effectiveness of the war of hashtags on both sides and who won this cyber battle, how social media worked as a medium to reveal information during this war, and finally, analyzing the increase in the activities of Anonymous Hacking and their subsequent impact on Israel
A Superposed Quantum Model of Brain Spiking Neurons
No full text© ASEE 2015In all mammalian brain billions of neurons exist and these neurons are working together through synapses and spike responses. A big question stand still in the field of neuroscience. Why a neuron can produce different types of spikes under same conditions? We showed that unknown and random behavior of neuronal spikes through time can be described by this quantum fact that a neuron can be in many states at a same time, therefore any spike patterns or combination of spike patterns can be understandable. Based on neuronal spikes patterns, sometimes we observed an unknown pattern can be explained by this phenomena that a neuron can exist partially in a physical state but when it’s response to an stimuli is recorded the result would be only one of the possible states or a linear combination of some states
Study and computer-aided analysis of artificial human wrist
No full text© ASEE 2015The wrist joint is frequently affected by rheumatoid arthritis, resulting in wrist
pain, deformity and ultimately loss of function. Artificial wrist implants have been introduced to treat the rheumatoid wrist, to attempt to alleviate pain and restore some function to the joint. This paper describes the anatomy of wrist and the design of an artificial wrist design. The artificial joint part consists of two parts, which are distal part and radius part. Computer aided engineering design is being used and help engineers quickly build up three-dimension model. Besides, Computer aided analysis and simulation have been set up to analyze the stress and total deformation
Evaluation of Nanosphere Verigene RT-PCR and Microarray Assay Versus Culture in the Detection of Enteric Pathogens
No full textWith gastroenteritis as the second leading cause of morbidity and mortality worldwide (Guerrant et al. 2001), it is imperative to have a laboratory method which is highly rapid, sensitive, and cost-effective to aid in the diagnosis and treatment of affected patients. This validation study seeks to evaluate the Nanosphere Verigene real-time PCR and microarray assay as a potential replacement for the current culture-based methods of testing stool samples for enteric pathogens in the Bridgeport Hospital microbiology lab
My Home's Market Value: An Active Market Pricing Model
No full textThe current US residential real estate market is recovering although price growth remains stagnant. The non-linear pricing model examined represents a first investigation in the area of a single variable, polynomial correlation model. Using data from Easton, Connecticut demonstrated that when sellers set initial prices outside of a computed 95% confidence interval for similar properties no offers are forthcoming prior to asking price reductions and offered properties remain on the market longer
Automatic Bio-MEMS Smart Drug Delivery System
No full textTraditional medicine injection is done by medical professionals. Patients need to see doctors or nurses for medicine injection. This brings inconvenience for the patients and increases the cost of medical care. Many senior patients with chronical diseases may need to inject multiple medicines everyday. Remembering the sequence of what medicine to inject at what time is not an easy job. Some medicine (such as insulin for diabetic patients) need to be delivered with precise dosage control according to the patient’s real-time need. Manual injection by rough estimation may lead to under-dose or overdose. All these made the medicine delivery a complicated and challenging task. In this research, a smart drug delivery system which can automatically inject the medicines according to preprogrammed sequence is proposed. It consists of a micropump, micro drug reservoirs and microneedle array integrated with a smart control circuitry. It can deliver multiple medicines with precise dosage control and proper timing. It allows the patients to injection medicine anytime anywhere automatically without human interference. It makes the medicine injection a worry-free process. The proposed smart drug delivery system leads to improved efficiency and it is expected to bring revolutionary change to the current medicine delivery technology