Botnets are one of the most serious and widespread cyber threats. Today botnets have been facilitating many cybercrimes, especially financial, top secret thefts. Botnets can be available for lease in the market and are utilized by the cybercriminals to launch massive attacks like DDoS, click fraud, phishing attacks etc., Several large institutions, hospitals, banks, government organizations and...

Cyber-physical systems are a kind of emerging large-scale distributed systems. The newly systems combine computing capacity, communication technology with control in a collaborative manner, and are considered as the next generation of engineered systems. With many sensors scatted spatially, a high volume of data is generated. In order to store and process the data, using cloud computing technol...

The airport gate assignment problem (AGAP) is one of the most important problems operations managers face daily. Many researches have been done to solve this problem and tackle its complexity. The objective of the task is assigning each flight (aircraft) to an available gate while maximizing both conveniences to passengers and the operational efficiency of airport. This objective requires a sol...

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

With the implementation of Earth Observation System (EOS), various technologies related to Earth Observation (EO) have been dramatically improved and extensively used. Geographical Information Systems (GIS) has also been developed greatly in recent years. Very few researches, however, have been done to integrate GIS and EO. Through analyzing some problems in the application of existing EOS and ...

Automatic detection of facial feature points plays an important role in applications such as facial feature tracking, human-machine interaction and face recognition. The majority of facial feature points detection methods using two-dimensional or three-dimensional data are covered in existing survey papers. In this article chosen approaches to the facial features detection have been gathered an...

A large number of shot boundary detection, or equivalently, transition detection techniques have been developed in recent years. The shot boundary detection includes abrupt and gradual shot change detection. Gradual shot change detection is more challenging task than abrupt shot change detection. Thus aim of this paper is mainly to focus on gradual boundary detection. Previous researches relate...

The current paper presents the study of organizational stressors survey carried out in a military institute, responsible for researches of high demand on aerospace technology. The study considered the theoretical framework of Organizational Ergonomics, combined with the technical guidelines of Psychology applied to Work Safety. The participatory approach was used on daily work assessment and de...

Opinions and reviews on products and services are expressed in the Web through blogs, feedback forms; it is essential to develop methods to automatically classify and gauge them to identify the underlying sentiment about the product. Analyzing the polarity of sentiment expressed in data is Opinion Mining (OM). It is a system that identifies and classifies opinion/sentiment as represented in ele...

Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theoretical researches and practical applications, currently there have been a lot of efforts towards providing some solutions to this challenge. However, there are still many difficulties in scaling up the multiagent reinforcement l...