Capgemini

About: Capgemini is a company organization based out in Utrecht, Netherlands. It is known for research contribution in the topics: Enterprise architecture & Context (language use). The organization has 544 authors who have published 591 publications receiving 9931 citations. The organization is also known as: Capgemini SE.

Capturing design and maintenance decisions with MACS

Abstract: MACS1 is a research and development project of the European ESPRIT II programme, whose objective is the definition and implementation of a software maintenance assistance system. The basic premise of MACS is to do maintenance through understanding. MACS offers to view the application from several points of view in specific ‘worlds’. One of them is the ‘Reasoning World’, the central subject of the present paper; it captures by means of a simple formalism, the Problem-Solution-Decision formalism, the rationale underlying the design and maintenance process. MACS data integration is provided by a central base called the Interconnection World. Moreover, MACS proposes to guide the maintainer in applying a strategy, and in fully exploiting the possibilities of the MACS tools themselves by means of AI techniques and knowledge-based support; throughout, however, the maintainer remains the master of maintenance actions.

Capturing design and maintenance decisions with MACS

Abstract: MACS is a research and development project of the European ESPRIT II program, whose objective is the definition and implementation of a software maintenance assistance system. The basis premise of MACS is to do maintenance through understanding. MACS views the application from several perspectives in specific 'worlds'. One of them is the 'reasoning world', which captures by means of a simple formalism, the problem-solution-decision formalism, the rationale underlying the design and maintenance process. MACS data integration is provided by a central base called the interconnection world. Moreover, MACS proposes to guide the maintainer in applying a strategy and in fully exploiting the possibilities of the MACS tools themselves by means of artificial-intelligence techniques and knowledge-based support. >

Divisions by Two in Collatz Sequences: A Data Science Approach

Abstract: The Collatz conjecture is an unsolved number theory problem. We approach the question by examining the divisions by two that are performed within Collatz sequences. Aside from classical mathematical methods, we use techniques of data science. Based on the analysis of 10,000 sequences we show that the number of divisions by two lies within clear boundaries. Building on the results, we develop and prove an equation to calculate the maximum possible number of divisions by two for any given Collatz sequence. Whenever this maximum is reached, a sequence leads to the result one, as conjectured by Lothar Collatz. Furthermore, we show how many divisions by two are required for a cycle of a specific length. The findings are valuable for further investigations and could form the basis for a comprehensive proof of the conjecture.

Putting customers in the driving seat: building Rover’s brand equity

Abstract: Reports that product or service features in today’s fast‐moving markets, that seemed distinctive and attractive yesterday may turn into little more than “hygiene factors” tomorrow, such is the pace of change. The car market is a good example. Who remembers, or even cares, which manufacturer first introduced ABS or airbags? Every major manufacturer now offers these features, or better. So, what are the implications for Rover Cars? Rover’s much‐respected turnaround in product design and quality is no longer sufficient to secure the group’s profitability and long‐term success. Rover has recognized the need to become even more customer‐focused to continue building brand equity. It is doing this through a deep understanding of its marketplace, a new approach to brand planning and brand management, and the systematic development of organizational capability.

Multi-agent systems for air traffic conflicts resolution by local speed regulation and departure delay

Abstract: Air Traffic Flow Management (ATFM) aims at structuring traffic in order to reduce congestion in airspace. Congestion being linked to aircraft located at the same position at the same time, ATFM organizes traffic in the spatial dimension (e.g. route network) and/or in the time dimension (sequencing and merging in TMA, Miles-in-Trail for en-route airspace). The objective of this paper is to develop a methodology that allows the traffic to self-organize in the time dimension when demand is high. This structure disappears when the demand diminishes. In order to reach this goal, a multi-agent system has been developed. In this system, aircraft agents regulate speed and delay departure time in order to reduce the number of conflicts, thus decreases overall traffic complexity, which becomes easier to manage by air traffic controllers. This algorithm was applied on realistic examples.