The paper concerns itself with the problem of heat transport
in a homogeneous, incompressible, isotropic, semi-infinite solid
whose boundary is nonstationary. The methods of solution in the one
dimensional case are discussed. Numerical examples and a method
for arriving at the solutions published by Bailey and Lakin in their
paper...
In this paper we use the set of all positive integers
as a sample space whose probability density function is unknown.
Then a generalization of the probability distribution
of the most significant digits of the set of all physical
constants is obtained on the strength of (i) a very general...
A new circuit technique called Folded Source Coupled Logic (FSCL) has been developed
to implement the digital section of mixed-signal IC applications. This FSCL circuit technique
offers the advantage of low overlap current spikes during the switching transitions
of conventional CMOS gates. This overlap current spike has become one of...
This investigation is concerned with the determination of the temperature-effective period (T.E.P.) for crossvein development at physiological temperatures using three isogenic crossveinlesslike (cvl) lines of Drosophila melanogaster.
The method used to determine T.E.P. relies on temperature differences in phenotypes and on a program of transfers from one temperature to another...
In the present study, the textural changes induced in Chinese
waterchestnuts by physical and chemical means were of prime concern.
After being subjected to chemical and heat treatments, the
corms were analyzed to relate the chemical changes with the physical
changes in the corms.
Chinese waterchestnuts were peeled, filled in...
In the present study, processed soymilks prepared by various
manufacturing methods were examined for quality by physical and
chemical methods. Viscosity, pH, soluble solids, total solids, fat
and protein content were used as indicators of quality. The principal
factor investigated was the protein content as measured by the
dye-binding procedure....
Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
Physical activity recognition using accelerometer data is a rapidly emerging field with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...