statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. this paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. the thermal conductivity of nanofluids increases with the volume fraction and temperature. machine learni...

background: making use of the orthovoltage machines in radiotherapy, is one of the routine methods for the treatment of the superficial lesions. in this study, an important determinant of x-ray quality, the hvl (half value layer), has been evaluated. materials and methods: the hvls of a orthovoltage x-ray machine in 120 and 180 kvp are measured, using an empirical method, in which the hvls are ...

this study is concerned with encouraging people to use post system in iran. in fact, it tries to find the design specifications of a post machine as an interacting system for improving post system. a machine that can provide facilities for posting parcels and selling envelops and stamps. in iran, post system is an obsolete system and cannot satisfy the users completely. in order to explore the ...

equipment availability is necessary in the development of agriculture mechanization. crop thinning is one of the most important stages in row crop production which is laborious and costly. the objective of this project is design and construction of a row crop thinning machine. four main system units are plant sensors, ground sensors, control and thinning platforms. in this machine the unwanted ...

In this paper, we study N-policy for a finite population Bernoulli feedback queueing model for machine repair problem with degraded failure. The running times of the machines between breakdowns have an exponential distribution. The repair times of the machines are independent and identically distributed random variables. If at any time a machine fails, it is sent to the repairman for repairing,...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...

during the last years the total cost of lng technology has decreased significantly due to improvements of the liquefaction process. however, many liquefaction plants that are still in operation use a three-cascade refrigeration system. in this paper, an advanced exergetic analysis is applied to better understand the operation of a three-cascade refrigeration system for liquefaction of natural g...