Facing the hyper-competitive environment of the “fourth generation port”, it is an impor-tant issue to discuss how to evaluate key capabilities and core competence for port authority. This requires a thorough investigation to determine the strategy of gaining core competence. Hence, the main

Technology has brought along major challenges to how organisations view global markets and customers, and how they operate within their industry value chains. This paper discusses the key capabilities required to manage change in an organisation that operates as a collaborative organisation

Distributed Sensor Networks (DSNs) are ad-hoc mobile networks that include sensor nodes with limited computation and communication capabilities. DSNs are dynamic in the sense that they allow addition and deletion of sensor nodes after deployment to grow the network or replace failing and unreliable

of smart spaces, invisibility, localized scalability, and masking uneven conditioning. Next, it sketches a couple of hypothetical pervasive computing scenarios, and uses them to identify key capabilities missing from today's systems. The paper closes with a discussion of the research necessary

the key capabilities required to manage change in an organisation that operates as a collaborative organisation in an ever-changing business environment. These capabilities are identified and presented in the context of understanding how a “successful” organisation operates, and the key factors

the exception handling features of high-level languages (and setjmp/longjmp in C) uniformly and efficiently. The LLVM compiler framework and code representation together provide a combination of key capabilities that are important for practical, lifelong analysis and transformation of programs. To our knowledge

). This has enabled very compact, autonomous and mobile nodes, each containing one or more sensors, computation and communication capabilities, and a power supply. The missing ingredient is the networking and applications layers needed to harness this revolutionary capability into a complete system. We review

This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called

This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There are three key contributions. The first is the introduction of a new image representation called the “Integral Image ” which allows the features

of communication (for example, number, navigation, and social relations). I f a martian graced our planet, it would be struck by one remarkable similarity among Earth's living creatures and a key difference. Concerning similarity, it would note that all living things are designed on the basis of highly