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The Giza Pyramids: A History of Wireless Electricity Transmission Validated by Today’s Science
No full textThis paper conducts a review to a recent theory that was introduced by Christopher Dunn in 1998 and 2010. This theory suggests that the ancient Egyptians had the technology to generate and wirelessly transmit electrical energy using the Great Pyramids of Giza. Also, the paper makes a comparison between the principle of this old technology to what is being developed in the present time to achieve wireless and efficient transmission of the electric energy
How the Shanghai Rankings have transformed France’s System of Higher Education
No full textDr. Ward's poster discussing the impact of China's Shanghai ranking on education in France and to the United States
A Patient-Adaptive Profiling Scheme for ECG Beat Classification
No full textRecent trends in clinical and telemedicine applications highly demand automation in electrocardiogram (ECG) signal processing and heart beat classification. A patient-adaptive cardiac profiling scheme using repetition-detection concept is proposed in this paper. We first employ an efficient wavelet-based beat-detection mechanism to extract precise fiducial ECG points. Then, we implement a novel local ECG beat classifier to profile each patient's normal cardiac behavior. ECG morphologies vary from person to person and even for each person, it can vary over time depending on the person's physical condition and/or environment. Having such profile is essential for various diagnosis (e.g., arrhythmia) purposes. One application of such profiling scheme is to automatically raise an early warning flag for the abnormal cardiac behavior of any individual. Our extensive experimental results on the MIT-BIH arrhythmia database show that our technique can detect the beats with 99.59% accuracy and can identify abnormalities with a high classification accuracy of 97.42%
Data Fusion Models in WSNs: Comparison and Analysis
No full text© ASEE 2014In WSNs, hundreds of sensors collect data from the environment but these sensors have limited energy. Therefore, energy consumption is a very challenging issue in the design of WSNs. Sometimes, sensors fail as they got affected by the pressure or temperature. Such failure can lead to misleading measurements which in turn are waste of energy. As a result, data fusion is needed to overcome such confusion where it assures data’s efficiency and eliminates data’s redundancy. This paper provides an analysis of the state-of-the-art data fusion models along with their architectures. It also presents a comparison between these models to highlight the main objectives of each. In addition, it analyzes the advantages and the limitation of these models
Energy-Efficient Boarder Node Medium Access Control Protocol for Wireless Sensor Networks
No full textThis paper introduces the design, implementation, and performance analysis of the scalable and mobility-aware hybrid protocol named boarder node medium access control (BN-MAC) for wireless sensor networks (WSNs), which leverages the characteristics of scheduled and contention-based MAC protocols. Like contention-based MAC protocols, BN-MAC achieves high channel utilization, network adaptability under heavy traffic and mobility, and low latency and overhead. Like schedule-based MAC protocols, BN-MAC reduces idle listening time, emissions, and collision handling at low cost at one-hop neighbor nodes and achieves high channel utilization under heavy network loads. BN-MAC is particularly designed for region-wise WSNs. Each region is controlled by a boarder node (BN), which is of paramount importance. The BN coordinates with the remaining nodes within and beyond the region. Unlike other hybrid MAC protocols, BN-MAC incorporates three promising models that further reduce the energy consumption, idle listening time, overhearing, and congestion to improve the throughput and reduce the latency. One of the models used with BN-MAC is automatic active and sleep (AAS), which reduces the ideal listening time. When nodes finish their monitoring process, AAS lets them automatically go into the sleep state to avoid the idle listening state. Another model used in BN-MAC is the intelligent decision-making (IDM) model, which helps the nodes sense the nature of the environment. Based on the nature of the environment, the nodes decide whether to use the active or passive mode. This decision power of the nodes further reduces energy consumption because the nodes turn off the radio of the transceiver in the passive mode. The third model is the least-distance smart neighboring search (LDSNS), which determines the shortest efficient path to the one-hop neighbor and also provides cross-layering support to handle the mobility of the nodes. The BN-MAC also incorporates a semi-synchronous feature with a low duty cycle, which is advantageous for reducing the latency and energy consumption for several WSN application areas to improve the throughput. BN-MAC uses a unique window slot size to enhance the contention resolution issue for improved throughput. BN-MAC also prefers to communicate within a one-hop destination using Anycast, which maintains load balancing to maintain network reliability. BN-MAC is introduced with the goal of supporting four major application areas: monitoring and behavioral areas, controlling natural disasters, human-centric applications, and tracking mobility and static home automation devices from remote places. These application areas require a congestion-free mobility-supported MAC protocol to guarantee reliable data delivery. BN-MAC was evaluated using network simulator-2 (ns2) and compared with other hybrid MAC protocols, such as Zebra medium access control (Z-MAC), advertisement-based MAC (A-MAC), Speck-MAC, adaptive duty cycle SMAC (ADC-SMAC), and low-power real-time medium access control (LPR-MAC). The simulation results indicate that BN-MAC is a robust and energy-efficient protocol that outperforms other hybrid MAC protocols in the context of quality of service (QoS) parameters, such as energy consumption, latency, throughput, channel access time, successful delivery rate, coverage efficiency, and average duty cycle.https://doi.org/10.3390/s14030507
Carbon Nanotubes Modified for Cellular Membrane Integration
No full textIn this examination, we create a functionalized type of carbon nanotube with detergent molecules designed to integrate with cellular membranes via an attractive electrical force between our molecular construct and the membrane itself. Upon examination, the functionality of our construct shows a bond between the carbon nanotube and the detergent molecules. Hopefully opening the door to more advanced studies of cellular interactions
Safe & Effective Treatment of Polycystic Ovary Syndrome and Its Cutaneous Symptoms
No full textThis thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Polycystic ovary syndrome (PCOS) is the most prevalent hormonal disorder in women of reproductive age. Oligomenorrhea is the single most prevalent presenting complaint. Although obesity, insulin resistance, metabolic syndrome and hirsutism, acne, and alopecia are frequently present in PCOS, the three key diagnostic criteria are hyperandrogenism, chronic anovulation, and polycystic ovaries on ultrasonography. Although conventional pharmacological protocols are abundant, the risks of potential serious side effects are many. More and more patients are requesting gentler, non-pharmacological alternatives that are safe and effective. Review of the literature for non-pharmacological approaches to PCOS management and possible reversal is investigated in this paper. The pros and cons of lifestyle modifications, stress management, counseling and nutritional and botanicalreatments are discussed and evaluated regarding their safety and efficacy in the treatment of PCOS, its symptoms and sequelae, without the use of pharmacological drugs. Natural treatment of PCOS may improve the parameters by which polycystic ovary syndrome is evaluated. LSM, stress management, counseling, neutraceuticals, and botanicals appear to be valuable methods. Further research, and particularly randomized controlled trials (RCTs), are needed
Electrospinning of Flavin Mononucleotide-Functionalized Single-Walled Carbon Nanotubes
No full textIn this contribution, we describe the flavin mononucleotide (FMN) cofactor onto carboxylic functionalities of single-walled carbon nanotubes(SWNTs), using an electrospinning process to create the continuous nanoscale composite fibers from carbon nanotubes and polymer and FMN