Browsing Engineering by Title
Now showing items 3076-3095 of 3410
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Suboptimal model matching problem for two frequency scale transfer functions
(IEEE, 1989-06-21)H¿ model matching problem (MMP) for single-input/single-output (SISO) two frequency scale (TFS) systems is considered. -
Subspace based blind CFO estimation for OFDM by exploiting used carriers
(IEEE, 2009-03-30)Orthogonal frequency division multiplexing (OFDM) is a promising technique to handle impairments of multipath channel. Alternatively, one of its major drawbacks is the drift in reference carrier, which is known as carrier ... -
Sum-rate distortion for a multiantenna broadcast channel due to limited feedback
(Wichita State University. Graduate School., 2007-04-27)Realization of large capacity gains offered by multiple antenna systems depends upon the presence of channel state information (CSI) at the transmitter. However, very recently the overall impact of feedback on system capacity ... -
Superhydrophobic behavior of electrospun nanofibers with variable additives
(Wichita State University, 2009-12)This report presents the hydrophobic (90<Ѳ<150) and superhydrophobic (150<Ѳ<180) behaviors of electrospun fibers in the presence and absence of various inclusions. The research on superhydrohobicity has accelerated around ... -
Superhydrophobic coatings for steel pipeline protection in oil and gas industries: a comprehensive review
(Elsevier, 2020-11)Recently, there have been numerous deadly gas and oil pipeline explosions in the United States, resulting in extensive investigations based on corrosion and aged foundations. Superhydrophobic coatings are being developed ... -
Superhydrophobic electrospun nanofibers
(ROYAL SOC CHEMISTRY, 2013)This review describes state-of-the-art scientific and technological developments of electrospun nanofibers and their use in self-cleaning membranes, responsive smart materials, and other related applications. Superhydrophobic ... -
Superhydrophobic PAN nanofibers for gas diffusion layers of proton exchange membrane fuel cells
(SPIE, 2016-04-16)Proton exchange membrane (PEM) fuel cells are considered to be the promising alternatives of natural resources for generating electricity and power. An optimal water management in the gas diffusion layers (GDL) is critical ... -
Superhydrophobic PAN nanofibers for gas diffusion layers of proton exchange membrane fuel cells for cathodic water management
(Elsevier, 2018-06-21)Proton exchange membrane (PEM) fuel cells are considered to be promising alternatives to natural resources for generating electricity and various other powers. Optimal water management in the gas diffusion layer (GDL) is ... -
Supervised machine learning approach for effective supplier classification
(IEEE, 2019-12)Supplier assessment plays a critical role in the supply chain management, which involves the flow of goods and services from the initial stage (raw material procurement) to the final stage (delivery). Supplier assessment ... -
Supplier assessment process for a manufacturing firm
(Wichita State University, 2018-04-27)In the global supply chain, appropriate and sustainable suppliers play a vital role in supply chain development and feasibility. In any big organization with many suppliers, it is necessary to divide suppliers based on ... -
Supplier assessment process for manufacturing companies with existing suppliers
(Wichita State University, 2018-07)In the global supply chain, appropriate and sustainable suppliers play a vital role in supply chain development and feasibility. In any big organization with a large number of suppliers, it is necessary to divide suppliers ... -
Supplier development: review of recent literature
(Wichita State University. Graduate School., 2005-04-22) -
Supply chain agent decision aid system (SCADAS)
(IEEE, 2001)Supply chain decisions are improved with access to global information. However, supply chain partners are frequently hesitant to provide full access to all the information within an enterprise. A mechanism to make decisions ... -
Supply chain network configuration: dynamicity and sustainability
(Wichita State University, 2012-05)This dissertation consists of five submission-ready accepted/submitted papers that address some of the key supply chain problems. Supply chain problems, in terms of the area that they address, can be classified into four ... -
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome
(IEEE, 2017-05)Down Syndrome is a common disorder which causes intellectual disability among other symptoms. To date, no treatment exists for the learning difficulties associated with Down Syndrome. However, the pharmaceutical drug ... -
Surface free energy change of UV exposed composites and coatings via acid-base interactions
(Amer Soc of Mechanical Engineers, 2012)Surface free energy of composite and coatings are critically important for the performance of the materials since the change in surface free energies can drastically affect the physical, chemical and physicochemical ... -
Surface modification of hexagonal boron nitride nanomaterials: a review
(Springer US, 2018-01)Hexagonal boron nitride (h-BN) nanomaterials, such as boron nitride nanotubes, boron nitride nanofibers, and boron nitride nanosheets, are among the most promising inorganic nanomaterials in recent years. Their unique ... -
A survey and comparison of several friction force models for dynamic analysis of multibody mechanical systems
(Springer International Publishing, 2016-11)This study is aimed at examining and comparing several friction force models dealing with different friction phenomena in the context of multibody system dynamics. For this purpose, a comprehensive review of present ... -
A survey of biometric and machine learning methods for tracking students' attention and engagement
(IEEE, 2021-02-23)The skills of focusing and paying attention are critical to student learning. According to Piontkowski et al. [40], "Educators often talk about attention as a general mental state in which the mind focuses on some special ... -
A survey on machine and deep learning models for childhood and adolescent obesity
(IEEE, 2021-11-25)Childhood and adolescent obesity is a serious health problem that is on the rise at the global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and heart disease affected only adults, but now ...