Engineering education in the last few decades, has been growng incredibly in importance and reputation due to certain skills, technical knowledge and proficiencies that are imparted to the passed out graduates for their employability. It is an accepted fact that India has an immense potential to...

We are currently witnessing major changes in production systems, diversification and service delivery as well as business models. A new concept was introduced approx. 6 years ago - Industry 4.0. or The Fourth Industrial Revolution. This new concept refers not only to industrial branches, but...

Labour ‘flexibility’ is often portrayed as important to competitive success. Using evidence from an original survey of UK firms, this paper investigates the relationships between firms' use of, on the one hand, various flexible work practices, human resource management techniques, and...

The study of complex systems should be based on a systems-theoretic framework which requires both self-organizing and symbolic dimensions. An inclusive framework based on the notion of semiotics is advanced to build models capable of representing, as well as evolving in their environments, with...

We identify a general framework for weak planning called bootstrap planning, which is defined as global planning using only a local planner along with some memory for learning intermediate subgoals. We present a family of algorithms for bootstrap planning, and provide some initial theory on...

There is a recognised need for the continued improvement of both the techniques and technology for spatial decision support in infrastructure site selection. Many authors have noted that current methodologies are inadequate for real-world site selection decisions carried out by heterogeneous...

When large numbers of alerts are reported by intrusion detection (ID) systems in very fine granularity, it prevents system administrators from handling the alerts effectively. This in turn degrades the usability of an intrusion detection system. Aside from detection, timely responses of...

Machine learning has become one of the most active and exciting areas of computer science research, in large part because of its wide-spread applicability to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical...

Intelligent Product Recommendation Agents have been used for some time now by large, well known Internet businesses such as Amazon and Netflix. Unfortunately there is little research assessing the effectiveness of these systems in influencing online consumer behavior. Businesses that sell...

Following the events of September 11, 2001, many in the American public falsely believe they must choose between safety and privacy. This paper proposes an approach to technology (termed “Selective Revelation”) that allows data to be shared for surveillance purposes such that shared data...