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Orangeburg, SC, United States

South Carolina State University is a historically black university located in Orangeburg, South Carolina, United States. It is the only state funded, historically black land-grant institution in South Carolina and is a member-school of the Thurgood Marshall College Fund. South Carolina State University was founded in 1896 as the state of South Carolina's sole public college for black youth. Although regionally accredited by the Southern Association of Colleges and Schools , the university was placed on probation in June 2014 for failing to meet the accreditor's standards "concerning governing board conflicts of interest and board/administration structure, as well as financial stability and controls." Wikipedia.

Roy K.M.,University of Maryland University College | Dyson O.,South Carolina State University
American Journal of Community Psychology | Year: 2010

In this analysis, we explore how low-income African American fathers build understandings of successful manhood in the context of community-based responsible fatherhood programs. Drawing on life history interviews with 75 men in Illinois and Indiana, we explore men's attempts to fulfill normative expectations of fatherhood while living in communities with limited resources. We examine the efforts of community-based fatherhood programs to shape alternative African American masculinities through facilitation of personal turning points and "breaks with the past," use of social support and institutional interventions, and the reframing of provision as a priority of successful fatherhood. We refer to Connell's hegemonic masculinity framework (Connell in Masculinities, Polity Press, Cambridge, 1995) and discuss how both men and programs borrow from hegemonic and street masculinities to develop alternative approaches to paternal involvement for marginalized men. © Society for Community Research and Action 2010.

Chukwu U.C.,South Carolina State University | Mahajan S.M.,Tennessee Technological University
IEEE Transactions on Sustainable Energy | Year: 2014

Real-time application in power systems is a key to smart-grid realization. Maintaining accurate security information and monitoring the changing system state are necessary for real-time management of the modern-day power system. Smart-grid applications provide an excellent opportunity to better manage the voltage stability of the power system. Using intelligent electronic devices, it is possible to capture power system data, and give an instantaneous snapshot of the system status. The penetration of vehicle-to-grid (V2G) into the power system may introduce a high-level of volatility due precarious charging/discharging operations, hence emphasizing the need for a real-time management option. In this paper, a real-time monitoring diagnostic of the power system is presented. The system parameters for consideration are voltage profile, voltage stability, step voltage regulators (SVRs) operations, power, and energy loss. Economic studies are also considered. Results show that for a given V2G penetration level, three-phase and system-wide V2G integration results in an improved system performance, and economic operation of the power system than a one-phase V2G integration. Results also indicate that using V2G parking lots to inject reactive power to the grid at an optimal location can promise about 95% power/energy loss reduction (relative to power loss without V2G installed). The results are suitable for further applications of smart grids. © 2010-2012 IEEE.

Chukwu U.C.,South Carolina State University | Mahajan S.M.,Tennessee Technological University
IEEE Transactions on Sustainable Energy | Year: 2014

Vehicle-to-grid (V2G) units are gaining prominence and may dominate the auto-market in the near future. The V2G batteries require corporate parking lots for charging and discharging operations. The electric power capacity of an existing parking lot can be increased by the installation of photovoltaic (PV) rooftops. This paper describes mathematical models for estimating the electric power capacity of a V2G parking lot (VPL) system with PV canopy. The electric vehicle (EV) demand/supply model was formulated as a queuing theory problem, exhibiting stochastic characteristics. New formulae were developed to address the impacts of battery charger efficiency on the amount of power demand during battery charging, and also how the latter is effected by inverter efficiency during discharging. Mathematical models for grid gain factor were developed. The proposed models were tested using Tesla Roadster EV and Nissan leaf EV. Promising simulation results are gained leading to a conclusion that vehicle parking lots with PV facilities can potentially relieve and enhance the grid capacity. Results show that 60% gain factor is possible. The effect of weather uncertainties and energy market price were studied. The study could be useful in battery-charger control studies. © 2013 IEEE.

Basher H.A.,South Carolina State University
Conference Proceedings - IEEE SOUTHEASTCON | Year: 2011

This paper proposes a Two Minimum Three Step Search (2MN3SS) block matching algorithm that improves the estimation accuracy and retains the simplicity of the Three Step Search (3SS) algorithm. Motion estimation using Full Search (FS) algorithm is computationally extensive. Other previously proposed algorithms reduce the computation by limiting the number of search points at the cost of higher distortion in compensated image. Our proposed algorithm requires higher search points but provides better estimation accuracy compared to three other different types of block matching algorithms such as 3SS, NTSS, and 4SS. The experiments performed on night stare images from IR camera show the robustness and better error performance of the proposed approach. © 2011 IEEE.

Miah A.M.,South Carolina State University
IET Generation, Transmission and Distribution | Year: 2011

Earlier, a simple dynamic equivalent for a power system external area containing a group of coherent generators was proposed in the literature. In the proposed method, all the coherent generators are first decomposed into smaller generators. This is a new concept. The smaller generators are then aggregated in two levels. In this study, a new alternative and much more justified approach is proposed for the first-level aggregation. However, for the second-level aggregation, the same earlier approach is used. The resulting dynamic equivalent has a power system structure. In online applications, this equivalent does not require any measurement data from the external area. Very recently, the performance of the dynamic equivalent has been extensively investigated on the New England 39-bus 10-generator system, the IEEE 162-bus 17-generator system and the IEEE 145-bus 50-generator system. The results of this investigation are presented here for a complete validation of the proposed method. © 2011 The Institution of Engineering and Technology.

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