Wichita State University

About: Wichita State University is a education organization based out in Wichita, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4988 authors who have published 9563 publications receiving 253824 citations. The organization is also known as: WSU & Fairmount College.

An energy-efficient virtual MIMO architecture based on V-BLAST processing for distributed wireless sensor networks

Abstract: An energy-efficient virtual multiple-input multiple-output (MIMO) communication architecture based on V-BLAST receiver processing is proposed for energy-constrained, distributed wireless sensor networks. The proposed scheme does not require transmitter-side sensor cooperation unlike previously proposed virtual MlMO schemes for wireless sensor networks. In sensor networks with single-antenna data gathering nodes, the virtual MIMO operation is realized via the receiver-side local communication assuming node cooperation. Numerical results show that the significant energy savings are offered by the proposed virtual MIMO architecture in distributed wireless sensor networks. These results also indicate that while rate optimization over transmission distance may offer improved energy efficiencies in some cases, this is not essential in achieving energy savings as opposed to previously proposed Alamouti scheme-based virtual MIMO implementations. In fact, in most scenarios a fixed-rate virtual MIMO system with binary phase-shift-keying (BPSK) can achieve performance very close to that of a variable-rate system with optimized rates. However, these results also indicate that the proposed scheme can lead to larger delay penalties compared to a traditional SISO communication based sensor network as the order of the virtual MIMO architecture grows. This results in a trade-off between the achievable energy efficiency and the delay incurred, making the proposed virtual V-BLAST based MIMO scheme an especially good candidate communication architecture for energy-starved and delay-tolerant wireless sensor networks having no inter-sensor communication.

Do different kinds of trust matter? An examination of the three trusting beliefs on satisfaction and purchase behavior in the buyer-seller context

Abstract: The three trusting beliefs have different effects on satisfaction and purchase.Benevolence belief is a stronger predictor of satisfaction than competence belief.Competence is a stronger predictor of purchase than integrity and benevolence.Future trust research should include both satisfaction and purchase behavior. Trust has been extensively studied in the buyer-seller context and typically operationalized according to the McKnight tripartite conception of trusting beliefs. The McKnight model identifies three beliefs (integrity, benevolence, and competence) as the key components of trust. However, limited research has examined the relative effect of these three individual trusting beliefs on satisfaction and purchase behavior in the buyer-seller context. To address this gap, we posit that a buyer's beliefs in a seller's integrity and benevolence have stronger influences on satisfaction than a belief in a seller's competence. In contrast, a buyer's belief in a seller's competence has a stronger influence on purchase behavior as compared to beliefs in a seller's integrity and benevolence. The results from a buyer-broker simulation study support that (1) a buyer's belief in a seller's benevolence is a stronger predictor of satisfaction than the belief in a seller's competence; (2) a buyer's belief in a seller's competence is a stronger predictor of purchase behavior than are beliefs in a seller's integrity and benevolence. This research enhances our theoretical understanding about which dimensions of trust play more important roles in influencing satisfaction and purchase behavior, respectively. This research also provides guidance to practitioners enabling them to focus on the development and training foci that best prepare customer relationship employees on the diverse aspects of trust most salient to customer needs, such as, emphasizing competence over benevolence for infrequent purchases, or emphasizing benevolence for potentially frequent purchases.

A unified approach to form error evaluation

Abstract: Evaluation of form error is a critical aspect of many manufacturing processes. Machines such as the coordinate measuring machine (CMM) often employ the technique of the least squares form fitting algorithms. While based on sound mathematical principles, it is well known that the method of least squares often overestimates the tolerance zone, causing good parts to be rejected. Many methods have been proposed in efforts to improve upon results obtained via least squares, including those, which result in the minimum zone tolerance value. However, these methods are mathematically complex and often computationally slow for cases where a large number of data points are to be evaluated. Extensive amount of data is generated where measurement equipment such as laser scanners are used for inspection, as well as in reverse engineering applications. In this report, a unified linear approximation technique is introduced for use in evaluating the forms of straightness, flatness, circularity, and cylindricity. Non-linear equation for each form is linearized using Taylor expansion, then solved as a linear program using software written in C++ language. Examples are taken from the literature as well as from data collected on a coordinate measuring machine for comparison with least squares and minimum zone results. For all examples, the new formulations are found to equal or better than the least squares results and provide a good approximation to the minimum zone tolerance.

A method for estimating sex using metric analysis of the scapula.

Abstract: The most accurate and precise methods for the assessment of age and stature often require knowledge of sex. Thus, being able to correctly identify sex from skeletal remains is critical in the forensic context. The presence of the os coxae or skull can never be guaranteed, making the development of reliable methods of sex estimation using other skeletal elements necessary. Using a 724 individual calibration sample from the Hamann-Todd collection, this study identifies sexual dimorphism in the human scapula, and presents a new five-variable discriminant function for sex estimation. The overall accuracy of this method proved to be 95.7% on the cross-validated calibration sample, 92.5% on an 80 individual test sample from the Hamann-Todd collection, and 84.4% on a 32 individual test sample from the skeletal collection of the Wichita State University Biological Anthropology Laboratory. Additionally, a slightly less accurate two-variable model was developed and has cross-validated accuracy of 91.3%.