Methodology To model the energy and greenhouse gas emissions of electronic software distributions

A new electronic software distribution (ESD) life cycle analysis (LCA)methodology and model structure were constructed to calculate energy consumption and greenhouse gas (GHG) emissions. In order to counteract the use of high level, top-down modeling efforts, and to increase result accuracy, a focus upon device details and data routes was taken. In order to compare ESD to a relevant physical distribution alternative,physical model boundaries and variables were described. The methodology was compiled from the analysis and operational data of a major online store which provides ESD and physical distribution options. The ESD method included the calculation of power consumption of data center server and networking devices. An in-depth method to calculate server efficiency and utilization was also included to account for virtualization and server efficiency features. Internet transfer power consumption was analyzed taking into account the number of data hops and networking devices used. The power consumed by online browsing and downloading was also factored into the model. The embedded CO2e of server and networking devices was proportioned to each ESD process. Three U.K.-based ESD scenarios were analyzed using the model which revealed potential CO2e savings of 83% when ESD was used over physical distribution. Results also highlighted the importance of server efficiency and utilization methods.

Intellectual property management in M&A transactions

Purpose – The purpose of this paper is to focus on the intellectual property (IP) aspects of mergers and acquisitions (M&A) transactions. Design/methodology/approach – A holistic approach is proposed that embraces IP as an integral part of the M&A process in the form of a roadmap for the strategic and purposeful management of IP assets in M&A deals. Findings – Addressing IP issues in transactions in isolation can lead to undesirable consequences (e.g. considerable costs for unplanned purchases of rights). IP due diligence and IP integration project processes can be automated using collaborative software solutions. Thereby, risk can be reduced through the creation of a high level of transparency and predefined responsibilities. Practical implications – Although the proposed IP management framework is based on intellectual property matters relevant to German jurisdiction, conclusions derived and the proposed roadmap are transferable to other jurisdictions and hence have a broader relevance. Evidence for this is provided by the successful application of the roadmap in the context of the multinational transaction stated above. Originality/value – This paper is based on the authors' collective experience, insight and reflected observation of M&A practice gained in advisory M&A roles in management consultancies over a period of more than a decade. The paper summarizes the authors' reflections and observations and brings these into the context of the current management literature. Moreover, this paper builds on earlier published research.

FACSGen: a tool to synthesize emotional facial expressions through systematic manipulation of facial action units

To investigate the perception of emotional facial expressions, researchers rely on shared sets of photos or videos, most often generated by actor portrayals. The drawback of such standardized material is a lack of flexibility and controllability, as it does not allow the systematic parametric manipulation of specific features of facial expressions on the one hand, and of more general properties of the facial identity (age, ethnicity, gender) on the other. To remedy this problem, we developed FACSGen: a novel tool that allows the creation of realistic synthetic 3D facial stimuli, both static and dynamic, based on the Facial Action Coding System. FACSGen provides researchers with total control over facial action units, and corresponding informational cues in 3D synthetic faces. We present four studies validating both the software and the general methodology of systematically generating controlled facial expression patterns for stimulus presentation.

A methodology to measure the environmental impact of ICT operating systems across different device platforms

Abstract: A new methodology was created to measure the energy consumption and related green house gas (GHG) emissions of a computer operating system (OS) across different device platforms. The methodology involved the direct power measurement of devices under different activity states. In order to include all aspects of an OS, the methodology included measurements in various OS modes, whilst uniquely, also incorporating measurements when running an array of defined software activities, so as to include OS application management features. The methodology was demonstrated on a laptop and phone that could each run multiple OSs, results confirmed that OS can significantly impact the energy consumption of devices. In particular, the new versions of the Microsoft Windows OS were tested and highlighted significant differences between the OS versions on the same hardware. The developed methodology could enable a greater awareness of energy consumption, during both the software development and software marketing processes.