print(psutil.net_if_stats())"""{'lo': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_UNKNOWN: 0>, speed=0, mtu=65536), 'enp2s0': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPLEX_FULL: 2>, speed=1000, mtu=1500), 'enp3s0': snicstats(isup=True, duplex=<NicDuplex.NIC_DUPL...
All interface scales can be reset during the measurement by pressing the 'L' key. Most often the real speed (maximum bandwidth) of network interfaces is not known, e.g. in case of the network interfaces of virtual machines. Therefore it is not possible to show the interface utilization as...
python: the current Python version platform: the current platform event: the name of this event log_level (int)– Also log the complete event dict, at the specified log level. Set to False to not log at all. doc_e_step(ss, Elogsticks_1st, unique_words, doc_word_ids, doc_word_count...
Init (PID 1): The first process to start during boot. It sets up the environment for the rest of the system and triggers events. systemd: After init, systemd becomes the primary init process, which is responsible for launching all other system services (calledunits). These units are define...
Figure 12 illustrates the measurement of work frequency, and the time required for each CNC. Fig. 12 Frequency, duration per CNC machines Bar chart Full size image If the CNCs are of the same type, CNC#C, having the shortest processing time, is the most efficient. It is also crucial to...
A single measurement is obtained by repeating the given algorithm n=10 times, measuring the total CPU time t and averaging as t/n. If t<1s, we use n=100 instead. No event log samples longer than 1,350 are taken since only two event logs would permit samples of 1,400 traces or ...
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.Theano is a Python library that allows you to define, optimize, and evaluate ...
Identify the facts, that is, identify the metrics of the business process. For example, the measurement indicator of the business process of "payment" is the payment amount. In more complex e-commerce business scenarios, it may also include indicators such as postage distribution and discount amo...
Signal processing is to analyze the stored measurement signals in the data acquisition process using signal processing techniques and methods. The task of signal processing is to extract useful information that is able to reveal the health conditions of the machines from the original measurement signals...
Uncertainty measurement: An uncertainty metric is then calculated based on the k answers generated. This metric assesses the level of disagreement among the candidate answers, identifying questions where the model’s responses exhibit significant variance. High uncertainty indicates areas where the model ...