WORKING AGILE TO SPEED UP RESEARCH WITH INDUSTRY: FIVE INDEPENDENCE PRINCIPLES

One of the obstacles to the ability of research to make an impact on industry resides on the research process itself. Today, there is a need to accelerate the means for research to support industrial transformation. At the same time, there is the need to maintain scientific rigorousness, which often requires time. To solve this trade-off, this paper evaluates existing research approaches through the lenses of agile development. The analysis is based on a simulation of research process architectures, and on observations made over several research projects with industry. The results of this analysis highlight five light-but-sufficient rules of research project behavior to keep momentum, motivation and trust when doing research with industry. The paper demonstrates the use of these five rules in a research sprint conducted iwith two automotive OEMs

Professioner, makt och samverkan mellan myndigheter: socialtjänstens, skolans och BUP:s arbete med ungdomar som inte går till skola

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Multi Agent Reinforcement Learning

Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is a group of machine learning algorithms where one does not know the correct answer in advance, much like unsupervised learning. However, in contrast to unsupervised learning, the quality of a decision can be measured as a number. By trail and error a program can learn to nd the optimal decisions to take based on this measure. The reinforcement learning framework has shown to nd solutions to complex problems in con ned game environments and control systems such as balancing tasks and bipedal walking. With reinforcement learning, usable solutions or strategies have been found to many problems which in theory could be solved to optimality but in practice are intractable. The success with reinforcement learning in games such as Chess, Backgammon and Go are examples of such strategies [11]. A problem with reinforcement learning in general is the so called curse of dimensionality. As the problem gets more complex, it naturally takes longer for the program to learn and the computational time often grows quickly with the complexity of the problem. The issue with scalability translates to reinforcement learning systems with multiple agents and new issues arise concerning the learning in terms of stability of a solution. In this thesis we present three algorithms which attempts to tackle the issue with stability of solutions in systems with cooperating or competing agents. The algorithms minimax Q, Nash Q and win or learn fast are presented and implemented on a set of selected problems and the algortihms performance is discussed. We also discuss the scalability and make an attempt at interpreting the assumptions in these algorithms in order to draw conclusions about their applicability to real worl

Våld i nära relationer- ett ungdomsproblem? En kvalitativ studie om ungdomars attityder kring våld i nära ungdomsrelationer

Studiens syfte var att försöka förstå och exemplifiera ungdomars attityder kring våld i ungdomsrelationer, samt deras attityder till sin omgivning relaterat till detta våld. Resultat och analys byggde på fyra fokusgruppsintervjuer med tio killar och nio tjejer från nionde klass, grupperna delades in efter kön. Intervjuerna transkriberades i sin helhet och presenterades i form av citat som analyserades med hjälp av feministisk poststrukturalistisk teori och intersektionalitet, och relaterades till tidigare forskning inom problemområdet. Resultaten visar att ungdomar har kunskaper om våld och hur det påverkar. Ungdomarna själva efterlyser mer information för att kunna identifiera olika former av våld samt information om hur det kan förebyggas. Tydligt var att ungdomarna upplevde att varken deras relationer eller utsagor blev tagna på allvar av vuxna. Ungdomarna valde sina vänner för att söka stöd eftersom dessa förväntades vara stödjande och inte agera. I resonemangen framkom att ungdomarna betraktar sina relationer som väldigt betydelsefulla och att det fanns en rädsla för att bli ensam, något som ungdomarna menade bidrog till att en stannar i en relation även om den innefattar våld. Våldshandlingar som legitimerades var de som var en effekt av otrohet eller engångsföreteelser. Mycket ansvar lades på individen, som förväntades ansvara för att identifiera våldet och lämna relationen. Ungdomarnas resonemang präglades av diskrepanser, då de skiftade åsikter om vartannat, något som vi tolkar som en osäkerhet inför problemområdet. Könsnormer och stereotypa föreställningar om manligt och kvinnligt visade sig vara högst närvarande i ungdomarnas tal och tolkning av sig själva och sin omvärld

A framework for producibility and design for manufacturing requirements in a system engineering context

Aircraft engine technology has evolved and matured over a 70 year period under a continous pressure to become more sustainable, fuel efficient, noise efficient, etc. while ensuring robustness and cost efficiency in production and product operation through life. This paper addresses how current challenges, trends and practices enable the introduction of competitive production and through life operation support into new aircraft engine products. Specifically, the area of structural jet engine sub-structures and components is addressed, where product optimization is dominated by weigth optimization, but also characterised by increased expectations of functionality. As a means, novel manufacturing processes are introduced, and one means is to adopt a so called fabrication approach, where the component is build based on assemlying sub-components with better controlled properties into a component using various joining technologies such as welding. The paper presents a framework based on tigther refining a systems engineering and requirements engineering approach that, combined with a set-based engineering approach, allow for building of re-useable and adaptable engineering methods. Through systematically building this framework, and making use of state of the art modeling and simulation technologies, the introduction of the novel technologies necessarily to increase the engine sub-system performance can be realized without compromizing risk and cost. The paper displays by example some of the challenges that successfully have been addressed, and also some remaining that currently drive development of new practises, methods and tools. In conclusion, a more integrated framework to tie a systems engineering approach with the use of advanced modeling and simulation technologies in a reuseable manner, is a way to balance between product performance and producibility. Still the area is undergoing intence development and challenges for research, development and practice still remain. \ua9 2013 The Authors. Published by Elsevier B.V