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One of the aims of expert knowledge management via information and communication technology is to improve the efficiency of knowledge transfer to non‐specialists, and to facilitate the implementation of service‐products that are adapted so as to be truly used. The aim of this paper is to describe an example in the domain of instrumental e‐learning.

Drawing on activity theory, this article describes a methodology that aims to guide the design process along the lines of the usage process.

The co‐design platform (CDP) allows the service designers and users to determine service‐product definitions together, to facilitate the emergence of their uses.

Some of the experiments are still in progress as the development is iterative.

To illustrate this method, the authors have designed and implemented an instrumental learning e‐service for guitar music (e‐guitare).

The CDP gives a greater understanding of the transformation of the tool (proposals) into an instrument (proven demand), which is essential to the process of supplying the demand.

The paper deals with research activities to develop optimization workflows implying computational fluid dynamics (CFD) modelling. The purpose of this paper is to present an industrial and fully-automated optimal design tool, able to handle objectives, constraints, multi-parameters and multi-points optimization on a given CATIA CAD. The work is realized on Rapid And CostEffective Rotorcraft compound rotorcraft in the framework of the Fast RotorCraft Innovative Aircraft Demonstrator Platform (IADP) within the Clean Sky 2 programme.

The proposed solution relies on an automated CAD-CFD workflow called through the optimization process based on surrogate-based optimization (SBO) techniques. The SBO workflow has been specifically developed.

The methodology is validated on a simple configuration (bended pipe with two parameters). Then, the process is applied on a full compound rotorcraft to minimize the flow distortion at the engine entry. The design of the experiment and the optimization loop act on seven design parameters of the air inlet and for each individual the evaluation is performed on two operation points, namely, cruise flight and hover case. Finally, the best design is analyzed and aerodynamic performances are compared with the initial design.

The adding value of the developed process is to deal with geometric integration conflicts addressed through a specific CAD module and the implementation of a penalty function method to manage the unsuccessful evaluation of any individual.

Lean-inspired approaches and performance management systems are being implemented in public healthcare organisations internationally. However, the literature is inconclusive regarding the benefits of these management tools and there is a lack of knowledge regarding processes for large-scale implementation of these tools. This article aims to describe the implementation process and to better understand how this process influences the mandated performance management system.

This research is based on a comparative case study of three healthcare organisations in Canada. Data consist documents, non-participant observation and semi-structured interviews with key actors (n = 30). Analysis is based on a sociotechnical approach to management tools that considers organisational context, and the tool's technical substrate, theory of action and managerial philosophy.

Results show that despite a standardised national mandate, the tool as implemented varied between organisations in terms of technical substrate and managerial philosophy. These variations are explained by the flexibility of the technical substrate, the lack of clarity of the managerial philosophy, and some contextual elements. Successful implementation may rest upon high hybridization of the tool on these different dimensions. A precise and prescribed technical substrate is not sufficient to guarantee implementation of a managerial philosophy.

Mandated implementation of management tools may be more successful if it is explicit on the managerial philosophy, the technical substrate and the link between the two, and if it provides some leeway to adapt both to the organisational context.

This is one of the few studies to describe and analyse the process involved in mandated large-scale implementation of performance management systems in public healthcare organisations.

This paper deals with the problem of magnetization identification. We consider a ferromagnetic body placed in an inductor field. The goal of this work is, from static magnetic field measurements taken around the device, to obtain an accurate model of its magnetization. This inverse problem is usually ill‐posed and its solution is non‐unique. It is then necessary to use mathematical regularization. However, we prefer to transform it to a better posed one by incorporating our physical knowledge of the problem. Our approach is tested on the magnetization's identification of a real ferromagnetic sheet.

Purpose – The first purpose of this chapter is to better understand, and to propose a means to understand the ways selves are constructed in daily contingencies during consumption experiences. To do so, the second purpose, which aims to bring an additional contribution, is to investigate the materiality of consumer experiences in a technological context.

Methodology/approach – We have investigated materiality (as conceptualized by Miller) of experiences in online discussion forums in a community of video games enthusiasts. Grounded theory is elaborated from an ethnography mixing interviews and nonparticipative online observation. The focus is on consumers' perceptions of their constructions as subjects in relationship to the various objects and practices they face.

Findings – The process through which subjects are contingently constructed follows three intertwined logics. Each of these logics, namely (1) finding a position, (2) building “appropriation logics” and accomplishing practices, and (3) enacting meaning empowerments, is detailed in its specific contingencies and modalities.

Research limitations/implications – Contribution of this research relies mostly on findings from one online community.

Practical implications – This research opens new ways to understand technological consumption experiences as they are lived by consumers, and it allows for an understanding of structuration in experiences characterized beforehand by their indeterminacy.

Originality/value of chapter – This chapter belongs to the few ones that propose a methodological approach to tackle with the construction of the self in daily contingencies and with dynamic materiality. It also opens new ways to de-essentialize ordinary consumption activities.

The purpose of this paper is to study business models (BMs) for smart meters (SMs) and discuss related issues in the French institutional context. Because SM introduce deregulation on both the demand and supply sides, the authors argue that they represent an opportunity to “unlock” the system by enabling feedback to consumers. The authors discuss the empirical findings from the TICELEC (Technologies de l’Information pour une Consommation Electrique – Information Technology for Sustainable Electricity Consumption Behaviors) project which is an experimental initiative to measure potential energy savings through the implementation of SM, and to test behavioral change.

The empirical data are from the TICELEC project and refer to a municipality in southern France. The project was designed to show the qualitative changes deriving from a new technology, and the quantitative changes in the form of real reductions in residential electricity consumption in the short and medium terms. The authors discuss these changes and their potential replication, and examine the nature of the feedback provided to users and the implications for SM BMs for France and for smart cities more generally.

The authors suggest that the opportunities provided by SM have to be compared with other kinds of intervention such as self-monitoring procedures. The results show that any intervention is important for moderating the sole impact of SM. The findings on the importance of changes to “energy habits” relate mainly to “curtailment” and “low efficiency” behaviors, which represent less costly changes. The lessons learned for BM developments linked to SM include incentive systems, smart tariffs, and technologies to increase potential behavior changes and energy savings in this field.

The authors’ analysis of the content of behavioral change shows that curtailment behavior and low-efficiency behavior remain dominant when SMs are implemented. Promoting high-efficiency behaviors is always difficult for reasons of cost. Thus, SM should be combined with other measures such as incentives systems, e.g. “smart tariffication,” and new services to increase their impact.

A proper combination of smart tariffs and SMs to reduce peaks in demand would appear to be critical to boost SM development. It will also be important to integrate SMs with smart grids to improve energy efficiency and exploit renewables and energy storage in electricity networks.

SMs are important but any interventions that motivate households to change their energy habits also help in the French context. SMs enable households to try to reduce their energy consumption but they are not the solution.

There are no detailed results published for France. Utilities such as Electricite Reseau Distribution France, have introduced R & D programs oriented to the deployment of SM which have been tested since 2009 (e.g. see the local LINKY meter projects in Lyon and Touraine). The empirical data are from the TICELEC project and refer to a municipality in southern France. The project was designed to show the qualitative changes deriving from a new technology, and the quantitative changes in the form of real reductions in residential electricity consumption in the short and medium terms. The authors discuss these changes and their potential replication, and examine the nature of the feedback provided to users and the implications for SM BMs for France and for smart cities more generally.

The idea is to exploit the natural stability and performance of the human arm during movement, execution and manipulation. The purpose of this paper is to remotely control a handling robot with a low cost but effective solution.

The developed approach is based on three different techniques to be able to ensure movement and pattern recognition of the operator’s arm as well as an effective control of the object manipulation task. In the first, the methodology works on the kinect-based gesture recognition of the operator’s arm. However, using only the vision-based approach for hand posture recognition cannot be the suitable solution mainly when the hand is occluded in such situations. The proposed approach supports the vision-based system by an electromyography (EMG)-based biofeedback system for posture recognition. Moreover, the novel approach appends to the vision system-based gesture control and the EMG-based posture recognition a force feedback to inform operator of the real grasping state.

The main finding is to have a robust method able to gesture-based control a robot manipulator during movement, manipulation and grasp. The proposed approach uses a real-time gesture control technique based on a kinect camera that can provide the exact position of each joint of the operator’s arm. The developed solution integrates also an EMG biofeedback and a force feedback in its control loop. In addition, the authors propose a high-friendly human-machine-interface (HMI) which allows user to control in real time a robotic arm. Robust trajectory tracking challenge has been solved by the implementation of the sliding mode controller. A fuzzy logic controller has been implemented to manage the grasping task based on the EMG signal. Experimental results have shown a high efficiency of the proposed approach.

There are some constraints when applying the proposed method, such as the sensibility of the desired trajectory generated by the human arm even in case of random and unwanted movements. This can damage the manipulated object during the teleoperation process. In this case, such operator skills are highly required.

The developed control approach can be used in all applications, which require real-time human robot cooperation.

The main advantage of the developed approach is that it benefits at the same time of three various techniques: EMG biofeedback, vision-based system and haptic feedback. In such situation, using only vision-based approaches mainly for the hand postures recognition is not effective. Therefore, the recognition should be based on the biofeedback naturally generated by the muscles responsible of each posture. Moreover, the use of force sensor in closed-loop control scheme without operator intervention is ineffective in the special cases in which the manipulated objects vary in a wide range with different metallic characteristics. Therefore, the use of human-in-the-loop technique can imitate the natural human postures in the grasping task.