Abstract: The present invention relates to a gas collection device and is directed to a gas collection device for collecting a gas which is generated while microorganisms are cultured in a super absorbent polymer product. The gas collection device may comprise a constant temperature chamber having an interior that is configured to be maintained at a set temperature; a culture flask unit located inside the constant temperature chamber and configured to culture a bacteria therein; an adsorption unit located outside the constant temperature chamber and configured to receive a gas inside the culture flask unit; a pump unit connected to a rear end of the adsorption unit and configured to suck the gas inside the culture flask unit into the adsorption unit; and a mass flow controller located outside the constant temperature chamber and configured to control a flow rate of the gas sucked into the adsorption unit.

Abstract: A mobile malicious code classification method based on feature selection includes extracting Application Programming Interface (API) feature information including a package name, a class name, a method name and a description from a malicious application of a predefined category, vectorizing a training dataset generated using the package name, the class name and the method name in the API feature information for deep learning, learning the vectorized training dataset to generate a classifier, probabilistically classifying to fit a target malicious application into a category, and defining the category of the target malicious application using a result of the classification and outputting a classification important API. Accordingly, it is possible to deal with malicious behaviors of malicious applications quickly and prevent damage caused by the malicious behaviors.

Abstract: A mobile malicious code classification method based on feature selection includes extracting Application Programming Interface (API) feature information including a package name, a class name, a method name and a description from a malicious application of a predefined category, vectorizing a training dataset generated using the package name, the class name and the method name in the API feature information for deep learning, learning the vectorized training dataset to generate a classifier, probabilistically classifying to fit a target malicious application into a category, and defining the category of the target malicious application using a result of the classification and outputting a classification important API. Accordingly, it is possible to deal with malicious behaviors of malicious applications quickly and prevent damage caused by the malicious behaviors.

Abstract: The present invention relates to a gas collection device and is directed to a gas collection device for collecting a gas which is generated while microorganisms are cultured in a super absorbent polymer product. The gas collection device may comprise a constant temperature chamber having an interior that is configured to be maintained at a set temperature; a culture flask unit located inside the constant temperature chamber and configured to culture a bacteria therein; an adsorption unit located outside the constant temperature chamber and configured to receive a gas inside the culture flask unit; a pump unit connected to a rear end of the adsorption unit and configured to suck the gas inside the culture flask unit into the adsorption unit; and a mass flow controller located outside the constant temperature chamber and configured to control a flow rate of the gas sucked into the adsorption unit.