This is a review of journals in the area
of using Artificial Intelligence for Intrusion Detection
and Prevention Systems. The journals have discussed the
milestones that have been achieved in the area of network
security particularly intrusion detection. They has also
highlighted several Machine Learning algorithms that
can be applied in this area to improve the IDS systems.
Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
Romain F. Laine, Kalina L. Tosheva, Nils Gustafsson, Robert D. M. Gray, Pedro Almada, David Albrecht, Gabriel T. Risa, Fredrik Hurtig, Ann-Christin Lindås, Buzz Baum, Jason Mercer, Christophe Leterrier, Pedro M. Pereira, Siân Culley, Ricardo Henriques
This paper documents a numerical model, developed for the McGill Rocket Team based on classical chemical thermodynamics coupled with the Trebble-Bishnoi equation of state, to solve for the oxidizer tank conditions (pressure, temperature, mole flowrate and liquid/vapour equilibrium) during the operation of a hybrid rocket. This model is modular and can be coupled to fluid mechanics and combustion chamber models for a more detailed analysis of a hybrid rocket engine.
Energy consumption is one of the most critical issues in the manufacturing
industry. The modeling, analysis and improvement of energy cost and consumption in multistage production system have been widely studied in many research
works. To summarize the latest development of research of energy consumption, a large amount of research work have been investigated. The review work
includes effect of design for the energy consumption and interactions between
many aspects related to industry. This research research combines energy systems from microscopic to macroscopic, which includes machine, manufacturing
line and factory level. This document begins with a review of energy consumption on machine level. Including the schema for machine states and transition of
energy, the process model for energy analysis and improvement methods. These
topics are further discussed in detail for different processes, eg. forming process, additive processes, etc. In the next part of the review the researches on
energy consumption for the multi-machine/manufacturing line level are introduced. Include the define of manufacturing line level, the logical benchmarking
of manufacturing lines, and the utilization of energy flows. At last, the detailed
way for the factory level energy management are studied. Including the factory
energy management system and the method of reduce energy consumption.
MD SAHIDUL ISLAM