A scikit-based Python environment for performing multi-label classification[1] What’s Python? Python is a high-level programming language. Essentially a scripting language, it does not require compilations, and provide data scientists a very intuitive and fast working environment through its edit-test-debug cycle. Featuring simple and easy-to-learn syntax, Python can be used in examples as simple as the example shown below(calculation of tips), or as heavy-lifting as multi-dimensional time series analytics or the gluing language of pre-existing compiled components written in Python or other languages.
A scikit-based Python environment for performing multi-label classification[1] What was done in this study? Building on the existing Python 3 sckikit-learn library, researchers from Poland recently published a new multi-label classification library, scikit-multilearn (skml in short) on Journal of Machine Learning Research. Compatible with sciki-learn and scipy ecosystems, this library provides native Python implementations of mutli-label classification methods, allowing the single-label deep learning methods to be extended into multi-label tasks - which is particularly efficient in problem transformation than other established libraries.
Localized discomfort of the human body - or over-generalized discomfort It is not very common to discuss the localized thermal discomfort with quantifiable measures. Traditionally, thermal comfort is expressed as either a vote-like metric such as Predicted Mean Vote (PMV) or temperature-like metric such as physiologically equivalent temperature (PET). Using environmental parameters (air temperature, relative humidity, mean radiant temperature and air velocity) and personal variables (metabolic rate and clothing factor), the human body is modelled either as a two-node heat budget model where the surface of the occupants are assumed to be at consistent temperature.
The basics Method to estimate required length of borehole The methods required to estimate the length required by borehole is outlined in ASHRAE Handbook - Applications (2015). Specifically, we’ll be looking at the sizing of a vertical geothermal heat pump system. The given (known) values that we have are $q_c$ and $q_h$, the cooling and heating load of the new campus in tons, which needs to be plugged into the following Equation (1) for the required length of cooling:
Mean radiant temperature review Super excited to see that the review of mean radiant temperature that I authored is to be published in Renewable and Sustainable Energy Reviews! Worked on this particular review for a really long period of time - and hopefully it would provide an in-depth review into the concept, its shortcomings and limitations as much as its benefits in the design of building systems. The current understanding of mean radiant temperature assumes many things: that it is almost equivalent to the measurement of globe thermometers - and is therefore singlular to an indoor space, and can sometimes even be approximated by air temperatures.
A brief history of delivering thermal comfort We understand the built environment as a whole where its very existence chanllenges the well-being of all of us at the get-go of mankind: we had to fight for our own livelihood, and manages to stay as warm as possible to avoid the frigidness quietly steals away our lives in our dreams. Our ancestors managed to do things the smart ways, by first finding shelter, next finding means to reshape the thermal environment of shelters, i.
We are not AIR. Conventional HVAC system designs uses air temperature as the only indicator of thermal comfort states - so long as the temperatures sits within a range, it is safe to assume that person is comfortable - at least that’s what the current standards are telling us.
We are individual humans that are different. Needless to say, the differences between the occupants are somewhat striking: between men and women, and between occupants of different build, age and weight, the heat-producing mechanism alone would result in a wide range of metabolic rates, let alone the differences caused by different muscle/fat ratios, etc.