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Montgomery, WV, United States

West Virginia University Institute of Technology is a four-year college located in Montgomery, West Virginia, United States. It is the largest regional campus of West Virginia University and is governed by the WVU Board of Governors. Locals generally call the school WVU Tech, West Virginia Tech, or simply Tech. Wikipedia.

Coffman-Wolph S.,West Virginia University Institute of Technology
CEUR Workshop Proceedings

Applying the concept of fuzzy logic (an abstract version of Boolean logic) to well-known algorithms generates an abstract version (i.e., fuzzy algorithm) that often results in computational improvements. Precision may be reduced but counteracted by gaining computational efficiency. The trade-offs (e.g., small increase in space, loss of precision) for a variety of applications are deemed acceptable. The fuzzification of an algorithm can be accomplished using a simple three-step framework. Creating a new fuzzy algorithm goes beyond simply converting the data from raw data into fuzzy data by additionally converting the operators and concepts into their abstract equivalents. This paper demonstrates: (1) how to apply the general framework by developing a fuzzy algorithm for a simple linear search algorithm and (2) the success of this process through the development of the Fuzzy Golden Ratio Section Search. Source

Chimba D.,Tennessee State University | Sando T.,University of North Florida | Kwigizile V.,West Virginia University Institute of Technology
Accident Analysis and Prevention

This paper evaluates roadway and operational factors considered to influence crashes involving buses. Factors evaluated included those related to bus sizes and operation services. Negative binomial (NB) and multinomial logit (MNL) models were used in linearizing and quantifying these factors with respect to crash frequency and injury severities, respectively. The results showed that position of the bus travel lane, presence or absence of on-street shoulder parking, posted speed limit, lane width, median width, number of lanes per direction and number of vehicles per lane has a higher influence on bus crashes compared to other roadway and traffic factors. Wider lanes and medians were found to reduce probability of bus crashes while more lanes and higher volume per lane were found to increase the likelihood of occurrences of bus-related crashes. Roadways with higher posted speed limits excluding freeways were found to have high probability of crashes compared to low speed limit roadways. Buses traveling on the inner lanes and making left turns were found to have higher probability of crashes compared to those traveling on the right most lanes. The same factors were found to influence injury severity though with varying magnitudes compared to crash frequency. © 2010 Elsevier Ltd. All rights reserved. Source

Song H.,University of Virginia | Song H.,West Virginia University Institute of Technology | Brandt-Pearce M.,University of Virginia
Journal of Lightwave Technology

In long-haul dense wavelength-division multiplexing (DWDM) systems with periodic dispersion compensation and amplification, system performance is adversely affected by severe physical impairments due to fiber losses, dispersion and nonlinearity. Fiber modeling is a prerequisite for the development of physical impairment mitigation techniques to improve system performance. The distance between two interacting symbols in time and wavelength, i.e., the range of influence (RoI) of each physical impairment, plays an important role in the development of these mitigation techniques. In this paper, we use the Volterra series transfer function (VSTF) method to define impairment characteristic coefficients that capture intersymbol interference (ISI), self phase modulation (SPM), intrachannel cross phase modulation (IXPM), intrachannel four wave mixing (IFWM), cross phase modulation (XPM) and four wave mixing (FWM), to characterize the impact of these impairments individually on the system output. We then investigate the impact of system parameters, namely, duty cycle, spectral efficiency, frequency chirp, and span length, on the RoI for long-haul DWDM systems. © 2012 IEEE. Source

Coffman-Wolph S.,West Virginia University Institute of Technology
CEUR Workshop Proceedings

Particle Swarm Optimization (PSO) is a powerful biology-based optimization search strategy. This paper explores the addition of intuition into the PSO algorithm to improve the speed and number of iterations required to find solutions to the problem. This intuition will be modeled using a fuzzy variable called the Hunch Factor. It will act as memory for the system and influence the choices of the algorithm. Thus, allowing the algorithm to make more human-like decisions. This paper is an early exploration into the hunch factor via several experiments of the hunch factor with a simple optimization problem. Source

Zabihian F.,West Virginia University Institute of Technology | Fung A.S.,Ryerson University
Energy Conversion and Management

In this paper, the hybrid solid oxide fuel cell (SOFC) and gas turbine (GT) model was applied to investigate the effects of the inlet fuel type and composition on the performance of the cycle. This type of analysis is vital for the real world utilization of manufactured fuels in the hybrid SOFC-GT system due to the fact that these fuel compositions depends on the type of material that is processed, the fuel production process, and process control parameters. In the first part of this paper, it is shown that the results of a limited number of studies on the utilization of non-conventional fuels have been published in the open literature. However, further studies are required in this area to investigate all aspects of the issue for different configurations and assumptions. Then, the results of the simulation of the syngas-fueled hybrid SOFC-GT cycle are employed to explain the variation of the stream properties throughout the cycle. This analysis can be very helpful in understanding cycle internal working and can provide some interesting insights to the system operation. Then, the detailed information of the operation of the methane-fueled SOFC-GT cycle is presented. For both syngas- and methane-fueled cycles, the operating conditions of the equipment are presented and compared. Moreover, the comparison of the characteristics of the system when it is operated with two different schemes to provide the required steam for the cycle, with anode recirculation and with an external source of water, provides some interesting insights to the system operation. For instance, it was shown that although the physical configuration of the cycle in two systems is the same, the actual configuration (the equipment actually taking part in the process) can be different. Finally, the results of the simulation for different types of the inlet fuel show that system outputs and operational parameters are greatly influenced by changes in the fuel type. Therefore, the possibility of variation of the inlet fuel type should be considered, and its impacts should be investigated before utilization of biogas, gasified biomass, and syngas as fuel in hybrid SOFC-GT cycles. © 2013 Elsevier Ltd. All rights reserved. Source

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