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GPU-Based Accelerated Algorithms for the Power Flow Calculation
No full textPower flow (PF) calculation is critical for power systems, as the development of multiple energy supplies. Power system modeling and analysis have been challenging on power engineers and leading to great pressure for the PF calculation. For the safety, stability and real-time response in grid operation, grid planning and analysis of the power system, it is urged to require designing high-performance computing methods, accelerating PF calculation, obtaining the voltage magnitude and phase angle of buses inside the power system, and coping with the increasingly complex large-scale power system. The PF algorithm is, generally, classified into the iterative and direct methods in the perspective of numerical methods. As for iterative method, a pre-conditioner is required to be designed to reduce the condition number of sparse Jacobian matrix toimprove convergency of the power system. Although the iterative method can save much memory and solve some large-scale sparse linear equations, the PF solver severely depends on the complicated pre-conditioner of the Jacobian matrix. Usually, the PF calculation cannot get a convergent solution without validating the pre-conditioner, repeatedly. For direct method, the traditional sequential, the Newton-Raphson (NR) algorithm will consume much of the computing resource and take a long time to converge on solving large-scale sparse linear equations of the power system. To address these issues, the GPU-based parallel computing architecture, singleGPU, and multi-GPUs, was proposed to take advantage of multi-thread, task parallelism and data parallelism, accelerating the PF calculation. Also, the utilization of GPUDirect technology enhances communication efficiency and significantly reduces data transmission overhead, leading to superior performance improvements compared to the traditional sequential methods
Design of a Compact Multi-Band (Cellular 5g/GNSS/V2x) Antenna and Rigorous Analysis of Antenna Performance on Glass Roofs for Vehicular Platforms
No full textThe growing market competition between the automakers led to the implementation of more entertainment systems and extra features to satisfy the automotive customers. The entertainment systems depend on wireless services and communication which led to increasing numbers of antennas mounted on and inside the vehicles. This dissertation is focused on automotive antenna design and the effect of the vehicle environment on the antenna performance. For the first part of the dissertation, a compact multi-band monopole antenna is designed for vehicular roof top shark-fin applications. The proposed multi-band antenna covers 5G sub-6GHz, GNSS and V2X frequency bands starting at 617MHz to 5925MHz. The presented antenna is a three-dimensional monopole antenna with two branches to cover the required bands with compact size to fit inside a roof top shark-fin. The antenna is simulated, optimized and then a prototype is fabricated, and its radiation characteristics are measured when mounted on one-meter ground plane and on a vehicle's roof. For the second part of the dissertation, the analysis of a C-V2X quarter-wavelength monopole antenna performance when mounted on a vehicle's glass roof is presented. Antenna gain measurements performed on a full glass roof exhibited a performance degradation in a linear average gain of 8 dB compared to when the same antenna is mounted on a metallic ground plane. In addition, the antenna radiation pattern on the glass roof had deep nulls. The antenna was simulated using a full-wave, three-dimensional electromagnetic field solver on the full glass sample with low emissivity (low-E) coating on the edges of the full glass roof and the simulation results showed acceptable agreement with the measurements. Simulation shows that the C-V2X antenna performance on the full glass roof can be improved by moving the low-E coating from underneath the glass to top of the glas
Minutes of the Formal Session of the Oakland University Board of Trustees, September 11, 2023
No full textA. Pledge of Allegiance | B. Call to Order | C. Roll Call | D. President's Report | E. Consent Agenda for Consideration/Action: Consent Agenda; Treasurer's Report; Minutes of the Board of Trustees Formal Session of June 26, 2023 and Board of Trustees Special Formal Session of August 10, 2023; University Personnel Actions; Acceptance of Gifts and Pledges to Oakland University for the Period of June 14, 2023 through August 29, 2023; Acceptance of Grants and Contracts to Oakland University for the Period of May 1 – June 30, 2023; Final Undergraduate School Report and Final Graduate School Report, Winter 2023 - April 26, 2023; Final Medical School Report, Winter 2023 - June 1, 2023; Approval of Honorary Degree for Glenn Ellis; Approval of Honorary Degree for Eric Hemenway; Approval of Honorary Degree for Kym Worthy; Approval of Honorary Degree for Walter and Donna Young; Fiscal Year 2025 Five-Year Capital Outlay Plan and Fiscal Year 2025 Capital Outlay Project Request; Approval of Changes to Contract for Residential and Retail Food Services on Campus; Aquasight LLC Contract Adjustment; 2024 Oakland University Board of Trustees Regular Formal Session Dates | F. New Items for Consideration/Action: Budget Approval for Varsity Basketball Training Center Project; Extension of President Pescovitz's Appointment; Honorary Degree Ceremony Presentation | G. Other Items for Consideration/Action that May Come Before the Board | H. Adjournmen
Increasing Knowledge of Emotional Intelligence: An Emotional Intelligence Education Workshop for Certified Registered Nurse Anesthetists
No full textCertified registered nurse anesthetists (CRNAs) provide safe, efficient, high quality yet low-cost anesthesia care for the United States of America. However, job- related stress can contribute to poor performance and burnout in the nurse anesthesia profession. Emotionally intelligent individuals are aware of their own emotional state, are able regulate their emotions and can handle stressful situations leading to a healthier physical and mental state. Existing literature cites various implications of emotional intelligence (EI) in the healthcare field such as improved job satisfaction, decreased burnout, improved interprofessional communication, and enhanced patient outcomes. EI is teachable; however, there is no standardized teaching methodology. The most frequently cited and successful interventions to increase one’s emotional intelligence levels recommended multiple in-person education sessions lasting one to two hours over the course of a year; however, this pilot study was only conducted as a single one hour in person workshop. Based on the literature, the purpose of this pre-test/post-test pilot project was to develop and implement an educational workshop to solely increase knowledge levels of EI in a sample of Michigan CRNAs.
A convenience sample of 39 Michigan CRNAs consented to participate in the workshop. No statistically significant difference was found [t (38) = -.595, p = .55] between the pre-test assessment (M = 8.97, SD = 1.11) and post-test assessment (M = 9.05, SD = 1.05). Statistical significance was found [t (37) = -5.441, p < .001] in the presentation evaluation item which prompted participants to rate their knowledge or familiarity with EI before (M = 3.84, SD = .86) and after (M = 4.5, SD = .60) the workshop [t (38) = -5.441, p <.001]. The workshop design was an effective teaching modality to increase participants personal knowledge levels of EI
Studying the Role of PTEN in The Gut and Investigating the Gut-Brain Inflammatory Interaction
No full textPhosphatase and tensin homolog (Pten) deficiency causes tumorigenesis because Pten opposes PI3k-Akt signaling. However, correlation between Pten deficiency and colon cancer remains unclear due to contradicting studies. The first project examines this correlation by generating intestinal epithelial cell (IEC) – specific Pten knockout (KO) mice. However, IEC-Pten deficiency alone did not induce tumorigenesis in mice but maintained the tumor-driving potential. The expression of tumor-promoting and tumor-suppressing genes was decreased and increased, respectively, in the intestine of PtenΔIEC/ΔIEC mice compared to controls. The abundance of Akkermansia muciniphila, capable of inducing chronic intestinal inflammation, was reduced in PtenΔIEC/ΔIEC mice. These findings suggest that altered tumor-associated gene expression and changed gut microbiota shape a tumor-preventive microenvironment in PtenΔIEC/ΔIEC mice. It was recently suggested that PTEN regulates TLR5-induced immune and inflammatory responses in IECs, suggesting an immunomodulatory function of PTEN in the gut. However, this alternative function of PTEN has not been evaluated in an in vivo context of protection against enteropathogenic bacteria. In the second project, PtenΔIEC/ΔIEC mice were subjected to the streptomycin-pre-treated mouse model of Salmonella infection. The bacterial infection in PtenΔIEC/ΔIEC mice increased the mortality, induced gastrointestinal inflammation, up-regulated pro-inflammatory cytokines, and increased bacterial loads in extraintestinal tissues. This suggests that IEC-restricted Pten deficiency renders the host greatly susceptible to Salmonella infection and supports an immune-regulatory role of PTEN in the gut. Lastly, in the third project, chronic gut inflammation is associated with neurodegenerative diseases. However, the direct evidence for and the underlying mechanism of the gut-brain interaction remain obscure. An interleukin-10 (IL-10) KO mouse was fed piroxicam-mixed chow, where it found that the brain and gut had increased levels of IL-1β and IL-6 cytokines. These findings suggest an inflammatory link in the piroxicam-fed IL-10 KO mice. Pten is an important factor in maintaining gut homeostasis, which is important for neural function
