The effects of deposition parameters and NH3 pretreatment on the size and distribution of Pd catalytic particles and subsequently their effects on the characteristics of the synthesized carbon nanotubes (CNTs) were sy...
The effects of deposition parameters and NH3 pretreatment on the size and distribution of Pd catalytic particles and subsequently their effects on the characteristics of the synthesized carbon nanotubes (CNTs) were systematically investigated. It was found that the size of Pd particles decreases and the particle density (total number of Pd particles per unit area) increases as the Pd film thickness decreases. Moreover, pretreatment of Pd film in NH3 gas promotes smaller Pd particles and higher particle density which is beneficial for CNT growth. The CNTs were synthesized by thermal chemical vapor deposition at 750 °C using methane (CH4) as the carbon source, and a mixture of Ar/H2 (80 vol %: 20 vol %) as a carrier gas with NH3 serving as a processing reagent. The incorporation of NH3 in CNT synthesis, per the specific pretreatment of catalytic film, has a distinct effect on the size and morphology of CNTs produced. The interrelation between processing, structure and emission behavior of CNTs produced with different synthesis conditions was examined by scanning electron microscopy, transmission electron microscopy, Raman spectroscopy, and field emission measurements.
Semi-analytical models are used to simulate the response of periodic-field electro quasistatic dielectrometry sensors. Due to the periodic structure of the sensors it is possible to use Fourier series methods in combi...
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Semi-analytical models are used to simulate the response of periodic-field electro quasistatic dielectrometry sensors. Due to the periodic structure of the sensors it is possible to use Fourier series methods in combination with collocation point numerical techniques to generate accurate sensor simulations much more efficiently than with the more general finite-element methods. Previously, collocation-point models used to compute the response of periodic field dielectric sensors, also known as Interdigitated Electrode Dielectrometers (IDED), have ignored the contribution of the constant (zero-order) term in the Fourier series expansion of the physical quantities. This is justifiable if the top dielectric material layer under test is infinitely thick, with any top ground plane bounding the dielectric removed too far from the sensor to influence its response. This is the assumption generally made until now in the application of these models. In practice, however, it is impossible to eliminate the cumulative effect of objects at ground potential in the vicinity of the sensor, which in general manifests itself as a ground plane electrode positioned at some effective distance within the top dielectric layer (usually air). In order to eliminate this source of uncertainty in the measurements, we suggest that a grounded electrode be explicitly placed at the top of the dielectric layer in the experimental setup, and its presence be accounted for in the models. Furthermore, in many cases, such as measurements on ceramic thermal barrier coatings, a metal layer is already present behind the material under test. In this paper we present how the models must be modified to account for this ground plane, and what effect it has on the dependence of the sensor response on the material properties. For example, the sensor transcapacitance may no longer be a monotonically increasing function of the material's permittivity, leading to nonuniqueness in permittivity measurements, as some f
With the increase in adoption of remote work groups and teams working in non-collocated environments, several opportunities for interaction have been lost. Contact with colleagues and discovery of opportunities, previ...
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With the increase in adoption of remote work groups and teams working in non-collocated environments, several opportunities for interaction have been lost. Contact with colleagues and discovery of opportunities, previously easy due to physical proximity, is made harder with distance. In this paper, we describe an agent-based framework to assist users in finding opportunities for interaction that may have been overlooked.
Finger extension is an important hand function and is crucial for object exploration and manipulation. Unfortunately, the impairment of this motor function is common among stroke survivors. A training environment inco...
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Finger extension is an important hand function and is crucial for object exploration and manipulation. Unfortunately, the impairment of this motor function is common among stroke survivors. A training environment incorporating augmented reality (AR) in conjunction with assistive devices has been developed for the rehabilitation of finger extension. The environment consists of three components: the stroke survivor user element consisting of AR equipment/software and body-powered orthosis; the therapist element comprised of monitoring/control interface with visual, audio and force feedback; and the networking module which interconnects these two. In this paper we present the structure of this environment along with the results from a pilot case study with a stroke survivor.
Most proteins interact with other proteins, cells, tissues or diseases. They have biological functions and can be classified according to their functions. With the functions and the functional relations of proteins, w...
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This paper describes targeted reaching experiments conducted using a new augmented reality system. Combining a large-workspace immersive virtual environment with physical force feedback, the system distorted subjects&...
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This paper describes targeted reaching experiments conducted using a new augmented reality system. Combining a large-workspace immersive virtual environment with physical force feedback, the system distorted subjects' movements using a viscous curl force field. Following previous experiments using a different robot, half the subjects were constrained to horizontal, planar movements. The remaining subjects performed unconstrained movements throughout the 3D workspace. Examining after-effects as an indication of learning, we found that constrained subjects learned the force field. However, it was difficult to detect whether the unconstrained subjects learned forces of identical magnitude. Our results found that force fields strengths eliciting constrained 2D adaptation have difficulty exhibiting after-effects for unconstrained 3D movements. The increased motor variability for 3D reaching movements requires consideration for future experimental design.
This paper provides an evaluation of the effects of using the Kumon method for supplementing the teaching of mathematics in the inner-urban school district of Pontiac, Michigan. Michigan Educational Assessment program...
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This paper provides an evaluation of the effects of using the Kumon method for supplementing the teaching of mathematics in the inner-urban school district of Pontiac, Michigan. Michigan Educational Assessment program (MEAP) test scores are cited for Herrington, Owen, and Crofoot elementary schools, which used the Kumon program during part of their ninety minutes of daily mathematics instruction, and demographically matched Emerson Elementary School, which did not use the Kumon program during its ninety minutes of daily mathematics instruction. In 2003, Emerson had 4.5% of its students exceed Michigan standards. In 2004 that number was 8.6%. At Herrington Elementary School, however, the MEAP scores rose from 39.7% to 89.1% of students exceeding state standards during the same single year period. Crofoot went from 0.0% of students exceeding Michigan state standards in 2003, to a remarkable 58.1% exceeding standards in 2004. Owen also showed substantive improvements. The research project, a joint effort between Oakland University's School of engineering and the School District of Pontiac, reveals that supplementation with the Kumon method as a partial replacement for a traditional mathematics program appears to result in significant improvements in statewide Michigan Educational Assessment program test scores for mathematics.
Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and stud...
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Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and student-instructor interaction than does a typical lecture class. Peer instruction (PI) engages students in active learning by achieving continuous instructor-student interaction in a physics lecture. However, the methodologies and the effectiveness of implementing PI for elementary school students have seldom been clarified. This study explores the possibility of adopting PI in an elementary science classroom. The research considerations of the study are as follows: (1) how wireless technology can enhance PI in elementary science classroom; (2) how a teacher can engage students in pre-class reading, and (3) whether elementary school students have sufficient social skills to perform a PI discussion? These questions are examined by observing how the PI pedagogical model worked with a wireless response system in elementary science classroom. Based on the observation, this study also proposes a way of improving the PI learning experience of elementary school students by adding experiments and observations during peer discussion to explain concepts and phenomena in physics.
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