Accountability Report

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

Accountability Report to State Budget and Control Board

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

Accountability Report to the State Budget and Control Board

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

2008-2009 Accountability Report for The South Carolina Budget and Control Board

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

2010-11 State Accountability Report

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

2011-12 State Accountability Report

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

2012-13 State Accountability Report

Winthrop University annually presents an accountability report to the governor and General Assembly with descriptions and budget of each program, objectives, and performance measures.

Queueuing system with failures and priorities

Queueing theory provides models, structural insights, problem solutions and algorithms to many application areas. Due to its practical applicability to production, manufacturing, home automation, communications technology, etc, more and more complex systems requires more elaborated models, tech- niques, algorithm, etc. need to be developed. Discrete-time models are very suitable in many situations and a feature that makes the analysis of discrete time systems technically more involved than its continuous time counterparts. In this paper we consider a discrete-time queueing system were failures in the server can occur as-well as priority messages. The possibility of failures of the server with general life time distribution is considered. We carry out an extensive study of the system by computing generating functions for the steady-state distribution of the number of messages in the queue and in the system. We also obtain generating functions for the stationary distribution of the busy period and sojourn times of a message in the server and in the system. Performance measures of the system are also provided.

A mensuração e articulação de objetivos qualitativos na avaliação de desempenho : o caso do Grupo Pestana

Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais

Quais as medidas de desempenho mais valorizadas pelos investidores : caso europeu

Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais

A real time electromagnetic analysis of electric machines for educational purposes and laboratory implementation

This thesis presents a system for visually analyzing the electromagnetic fields of the electrical machines in the energy conversion laboratory. The system basically utilizes the finite element method to achieve a real-time effect in the analysis of electrical machines during hands-on experimentation. The system developed is a tool to support the student's understanding of the electromagnetic field by calculating performance measures and operational concepts pertaining to the practical study of electrical machines. Energy conversion courses are fundamental in electrical engineering. The laboratory is conducted oriented to facilitate the practical application of the theory presented in class, enabling the student to use electromagnetic field solutions obtained numerically to calculate performance measures and operating characteristics. Laboratory experiments are utilized to help the students understand the electromagnetic concepts by the use of this visual and interactive analysis system. In this system, this understanding is accomplished while hands-on experimentation takes place in real-time.

Advanced Methodologies in Dynamic Traffic Assignment Modeling of Managed Lanes

Managed lane strategies are innovative road operation schemes for addressing congestion problems. These strategies operate a lane (lanes) adjacent to a freeway that provides congestion-free trips to eligible users, such as transit or toll-payers. To ensure the successful implementation of managed lanes, the demand on these lanes need to be accurately estimated. Among different approaches for predicting this demand, the four-step demand forecasting process is most common. Managed lane demand is usually estimated at the assignment step. Therefore, the key to reliably estimating the demand is the utilization of effective assignment modeling processes. Managed lanes are particularly effective when the road is functioning at near-capacity. Therefore, capturing variations in demand and network attributes and performance is crucial for their modeling, monitoring and operation. As a result, traditional modeling approaches, such as those used in static traffic assignment of demand forecasting models, fail to correctly predict the managed lane demand and the associated system performance. The present study demonstrates the power of the more advanced modeling approach of dynamic traffic assignment (DTA), as well as the shortcomings of conventional approaches, when used to model managed lanes in congested environments. In addition, the study develops processes to support an effective utilization of DTA to model managed lane operations. Static and dynamic traffic assignments consist of demand, network, and route choice model components that need to be calibrated. These components interact with each other, and an iterative method for calibrating them is needed. In this study, an effective standalone framework that combines static demand estimation and dynamic traffic assignment has been developed to replicate real-world traffic conditions. With advances in traffic surveillance technologies collecting, archiving, and analyzing traffic data is becoming more accessible and affordable. The present study shows how data from multiple sources can be integrated, validated, and best used in different stages of modeling and calibration of managed lanes. Extensive and careful processing of demand, traffic, and toll data, as well as proper definition of performance measures, result in a calibrated and stable model, which closely replicates real-world congestion patterns, and can reasonably respond to perturbations in network and demand properties.

Annual Accountability Report for FY 1996/97

Each year the South Carolina Department of Natural Resources reports to the Office of State Budget that includes the agency's mission, goals and objectives to accomplish the mission, and performance measures regarding the goals and objectives.

Annual Accountability Report for FY 1998/99

Each year the South Carolina Department of Natural Resources reports to the Office of State Budget that includes the agency's mission, goals and objectives to accomplish the mission, and performance measures regarding the goals and objectives.

Fifty-Ninth Annual Report of the Public Service Commission of South Carolina 1936-37

Each year the South Carolina Public Service Commission reports to the Office of State Budget that includes the agency's mission, goals and objectives to accomplish the mission, and performance measures regarding the goals and objectives.