Decomposition Methods and Network Design Problems

Decomposition based approaches are recalled from primal and dual point of view. The possibility of building partially disaggregated reduced master problems is investigated. This extends the idea of aggregated-versus-disaggregated formulation to a gradual choice of alternative level of aggregation. Partial aggregation is applied to the linear multicommodity minimum cost flow problem. The possibility of having only partially aggregated bundles opens a wide range of alternatives with different trade-offs between the number of iterations and the required computation for solving it. This trade-off is explored for several sets of instances and the results are compared with the ones obtained by directly solving the natural node-arc formulation. An iterative solution process to the route assignment problem is proposed, based on the well-known Frank Wolfe algorithm. In order to provide a first feasible solution to the Frank Wolfe algorithm, a linear multicommodity min-cost flow problem is solved to optimality by using the decomposition techniques mentioned above. Solutions of this problem are useful for network orientation and design, especially in relation with public transportation systems as the Personal Rapid Transit. A single-commodity robust network design problem is addressed. In this, an undirected graph with edge costs is given together with a discrete set of balance matrices, representing different supply/demand scenarios. The goal is to determine the minimum cost installation of capacities on the edges such that the flow exchange is feasible for every scenario. A set of new instances that are computationally hard for the natural flow formulation are solved by means of a new heuristic algorithm. Finally, an efficient decomposition-based heuristic approach for a large scale stochastic unit commitment problem is presented. The addressed real-world stochastic problem employs at its core a deterministic unit commitment planning model developed by the California Independent System Operator (ISO).

Designer synthesis of monodisperse heterodimer and ferrite nanoparticles

The work presented in this doctoral thesis is a facile procedure, thermal decomposition, forrnthe synthesis of different types of monodisperse heterodimer M@iron oxide (M= Cu, Co, Nirnand Pt) and single ferrites, MFe2O4 (M= Cu and Co), nanoparticles. In the following chapter,rnwe study the synthesis of these monodiperse nanoparticles with the similar iron precursorrn(iron pentacarbonyl) and different transition metal precursors such as metalrnacetate/acetylacetonate/formate precursors in the presence of various surfactants and solvents.rnAccording to their decomposition temperatures and reducing condition, a specific and suitablernroute was designed for the formation of Metal@Metal oxide or MFe2O4 nanoparticlesrn(Metal/M=transition metal).rnOne of the key purposes in the formation of nanocrystals is the development of syntheticrnpathways for designing and controlling the composition, shape and size of predictedrnnanostructures. The ability to arrange different nanosized domains of metallic and magneticrnmaterials into a single heterodimer nanostructure offers an interesting direction to engineerrnthem with multiple functionalities or enhanced properties of one domain. The presence andrnrole of surfactants and solvents in these reactions result in a variety of nanocrystal shapes. Therncrystalline phase, the growth rate and the orientation of growth parameters along certainrndirections of these structures can be chemically modulated by using suitable surfactants. In allrnnovel reported heterodimer nanostructures in this thesis, initially metals were preformed andrnthen by the injection of iron precursor in appropriate temperature, iron oxide nanoparticlesrnwere started to nucleate on the top or over the surfaces of metal nanoparticles. Ternary phasesrnof spherical CuxFe3-xO4 and CoFe2O4 ferrites nanoparticles were designed to synthesis just byrnlittle difference in diffusion step with the formation of mentioned phase separated heterodimerrnnanoparticles. In order to use these magnetic nanoparticles in biomedical and catalysisrnapplications, they should be transferred into the water phase solution, therefore they werernfunctionalized by a multifunctional polymeric ligand. These functionalized nanoparticles werernstable against aggregation and precipitation in aqueous media for a long time. Magneticrnresonance imaging and catalytic reactivities are two promising applications which have beenrnutilized for these magnetic nanoparticles in this thesis.rnThis synthetic method explained in the following chapters can be extended to the synthesis ofrnother heterostructured nanomaterials such as Ni@MnO or M@M@iron oxide (M=transitionrnmetal) or to use these multidomain particles as building blocks for higher order structures.

User centered retrofit: The case of kadk campus, Copenhagen, (dk)

The following research thesis is about a retrofit project made in Denmark, Copenhagen, and carried out on one of the buildings belonging to the Royal Danish Academy. The key assumption and base of the entire research process is that, up to now, the standard procedure in retrofit cases like this provides as comparative method between de facto and design, the use of Energy Simulation software. These programs generally divide the space into different thermal zones, assigning to each of them different levels of employment, activities, set-point temperatures set for cooling and heating analysis and so on, but always providing average and constant values, usually taken in the middle point of the single thermal zone. Therefore, the project and its research path stems from the attempt to investigate the potentialities of this kind of designing for retrofit process, as previously anticipated not antithetical but complementary to that classic energy-based retrofit, thus passing from the building scale, and all its thermal zones, to the users' scale, related to humans and microclimates. The main software used in this process is Autodesk Simulation CFD. The idea behind the project is that in certain situations, for example, it will not be necessary to add throughout insulation layers (previously parameterized and optimized with Design Builder), and that even in Winter conditions, due maybe to the users' activities, the increased level of clothing (clo) and the heat produced by equipments, thermal comfort could be achieved also in areas characterized by considerably lower MRT. After the analysis of the State of Art and its simulations, the project has still been supported by the tool itself, the CFD Software, in an iterative process aimed at achieving visible improvements in terms of MRT, on spaces with different needs and characteristics, both in Winter and Summer regimes.

A "Beyond WTO" Scenario for Swiss Agriculture: Consequences for Income Generation and the Provision of Public Goods

The conclusion of the Doha Round negotiations is likely to influence Swiss agricultural policy substantially. The same goes for a free trade agreement in agriculture and food with the European Communities. Even though neither of them will bring about duty-free and quota-free market access, or restrict domestic support measures to green box compatible support, both would represent a big step in that direction. There is no empirical evidence on the effect of such a counterfactual scenario for Swiss agriculture. We therefore use a normative mathematical programming model to illustrate possible effects for agricultural production and the corresponding agricultural income. Moreover, we discuss the results with respect to the provision of public goods under the assumption of continuing green box-compatible direct payments. The aim of our article is to bring more transparency into the discussion on the effects of freer and less distorted trade on the income generation by a multifunctional agriculture. The article will be organized as follows. In the first Section we specify the background of our study. In the second section, we focus on the problem statement and our research questions. In Section 3, we describe in detail a counterfactual scenario of “duty-free, quota-free and price support-free” agriculture from an economic as well as a legal perspective. Our methodology and the results are presented in Section 4 and 5 respectively. In Section 6, we discuss our results with respect to economic and legal aspects of multifunctional agriculture.

Industrial Restructuring in the Budapest agglomeration

The major 'motor' of the recent Hungarian industrial development has been foreign direct investment, particularly by multinational companies. This has stimulated the development process, as shown by the dynamism of production, exports and profitability of industry in Budapest. On the other hand, this has also led to a split of the industrial sphere into its foreign and domestic sections, or into foreign-owned companies and domestic SMEs. The major question asked in this project is where is Hungarian industry heading and will the gap between the contracting domestic part and the foreign multinationals continue to widen or will they be joined in a much more favourable scenario. Barta sees this as a question of whether Hungary can avoid the 'dead-end street' of South Asian industrialising countries, and instead move towards a new Eastern European or Hungarian model. He concludes that Budapest industry does not follow any given model and indeed its development probably cannot be seen as a 'model' proper in itself, but is, or will be, a mixture of different elements. This would be a welcome fusion of Hungary's rich human resources of accumulated knowledge with foreign direct investment. Budapest would play an exceptional role in such a process, as the gateway for foreign output to the rest of the country. The share of industry in the Budapest economy will continue to decrease, but it will become a more modern and profitable sector. It will also fulfil a technological transfer role between the developed world and the Hungarian countryside (or even a larger region of central and eastern Europe). Barta predicts that Budapest industry will develop a special structure, with a large subcontractor network supporting the large foreign enterprises, and alongside this industrial districts formed by SMEs.

Governance of Massive Multiauthor Collaboration – Linux, Wikipedia, and Other Networks: Governed by Bilateral Contracts, Partnerships, or Something in Between?

Open collaborative projects are moving to the foreground of knowledge production. Some online user communities develop into longterm projects that generate a highly valuable and at the same time freely accessible output. Traditional copyright law that is organized around the idea of a single creative entity is not well equipped to accommodate the needs of these forms of collaboration. In order to enable a peculiar network-type of interaction participants instead draw on public licensing models that determine the freedoms to use individual contributions. With the help of these access rules the operational logic of the project can be implemented successfully. However, as the case of the Wikipedia GFDL-CC license transition demonstrates, the adaptation of access rules in networks to new circumstances raises collective action problems and suffers from pitfalls caused by the fact that public licensing is grounded in individual copyright. Legal governance of open collaboration projects is a largely unexplored field. The article argues that the license steward of a public license assumes the position of a fiduciary of the knowledge commons generated under the license regime. Ultimately, the governance of decentralized networks translates into a composite of organizational and contractual elements. It is concluded that the production of global knowledge commons relies on rules of transnational private law.

Constructing a user experience user experience-based mobile learning environment

Mobile learning, in the past defined as learning with mobile devices, now refers to any type of learning-on-the-go or learning that takes advantage of mobile technologies. This new definition shifted its focus from the mobility of technology to the mobility of the learner (O'Malley and Stanton 2002; Sharples, Arnedillo-Sanchez et al. 2009). Placing emphasis on the mobile learner’s perspective requires studying “how the mobility of learners augmented by personal and public technology can contribute to the process of gaining new knowledge, skills, and experience” (Sharples, Arnedillo-Sanchez et al. 2009). The demands of an increasingly knowledge based society and the advances in mobile phone technology are combining to spur the growth of mobile learning. Around the world, mobile learning is predicted to be the future of online learning, and is slowly entering the mainstream education. However, for mobile learning to attain its full potential, it is essential to develop more advanced technologies that are tailored to the needs of this new learning environment. A research field that allows putting the development of such technologies onto a solid basis is user experience design, which addresses how to improve usability and therefore user acceptance of a system. Although there is no consensus definition of user experience, simply stated it focuses on how a person feels about using a product, system or service. It is generally agreed that user experience adds subjective attributes and social aspects to a space that has previously concerned itself mainly with ease-of-use. In addition, it can include users’ perceptions of usability and system efficiency. Recent advances in mobile and ubiquitous computing technologies further underline the importance of human-computer interaction and user experience (feelings, motivations, and values) with a system. Today, there are plenty of reports on the limitations of mobile technologies for learning (e.g., small screen size, slow connection), but there is a lack of research on user experience with mobile technologies. This dissertation will fill in this gap by a new approach in building a user experience-based mobile learning environment. The optimized user experience we suggest integrates three priorities, namely a) content, by improving the quality of delivered learning materials, b) the teaching and learning process, by enabling live and synchronous learning, and c) the learners themselves, by enabling a timely detection of their emotional state during mobile learning. In detail, the contributions of this thesis are as follows: • A video codec optimized for screencast videos which achieves an unprecedented compression rate while maintaining a very high video quality, and a novel UI layout for video lectures, which together enable truly mobile access to live lectures. • A new approach in HTTP-based multimedia delivery that exploits the characteristics of live lectures in a mobile context and enables a significantly improved user experience for mobile live lectures. • A non-invasive affective learning model based on multi-modal emotion detection with very high recognition rates, which enables real-time emotion detection and subsequent adaption of the learning environment on mobile devices. The technology resulting from the research presented in this thesis is in daily use at the School of Continuing Education of Shanghai Jiaotong University (SOCE), a blended-learning institution with 35.000 students.

Building an Academic Cloud for 500,000 Users

Under the brand name “sciebo – the Campuscloud” (derived from “science box”) a consortium of more than 20 research and applied science universities started a large scale cloud service for about 500,000 students and researchers in North Rhine-Westphalia, Germany’s most populous state. Starting with the much anticipated data privacy compliant sync & share functionality, sciebo offers the potential to become a more general cloud platform for collaboration and research data management which will be actively pursued in upcoming scientific and infrastructural projects. This project report describes the formation of the venture, its targets and the technical and the legal solution as well as the current status and the next steps.

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

Background: Statistical shape models are widely used in biomedical research. They are routinely implemented for automatic image segmentation or object identification in medical images. In these fields, however, the acquisition of the large training datasets, required to develop these models, is usually a time-consuming process. Even after this effort, the collections of datasets are often lost or mishandled resulting in replication of work. Objective: To solve these problems, the Virtual Skeleton Database (VSD) is proposed as a centralized storage system where the data necessary to build statistical shape models can be stored and shared. Methods: The VSD provides an online repository system tailored to the needs of the medical research community. The processing of the most common image file types, a statistical shape model framework, and an ontology-based search provide the generic tools to store, exchange, and retrieve digital medical datasets. The hosted data are accessible to the community, and collaborative research catalyzes their productivity. Results: To illustrate the need for an online repository for medical research, three exemplary projects of the VSD are presented: (1) an international collaboration to achieve improvement in cochlear surgery and implant optimization, (2) a population-based analysis of femoral fracture risk between genders, and (3) an online application developed for the evaluation and comparison of the segmentation of brain tumors. Conclusions: The VSD is a novel system for scientific collaboration for the medical image community with a data-centric concept and semantically driven search option for anatomical structures. The repository has been proven to be a useful tool for collaborative model building, as a resource for biomechanical population studies, or to enhance segmentation algorithms.

Extended-spectrum cephalosporin-resistant Gram-negative organisms in livestock: an emerging problem for human health?

Escherichia coli, Salmonella spp. and Acinetobacter spp. are important human pathogens. Serious infections due to these organisms are usually treated with extended-spectrum cephalosporins (ESCs). However, in the past two decades we have faced a rapid increasing of infections and colonization caused by ESC-resistant (ESC-R) isolates due to production of extended-spectrum-β-lactamases (ESBLs), plasmid-mediated AmpCs (pAmpCs) and/or carbapenemase enzymes. This situation limits drastically our therapeutic armamentarium and puts under peril the human health. Animals are considered as potential reservoirs of multidrug-resistant (MDR) Gram-negative organisms. The massive and indiscriminate use of antibiotics in veterinary medicine has contributed to the selection of ESC-R E. coli, ESC-R Salmonella spp. and, to less extent, MDR Acinetobacter spp. among animals, food, and environment. This complex scenario is responsible for the expansion of these MDR organisms which may have life-threatening clinical significance. Nowadays, the prevalence of food-producing animals carrying ESC-R E. coli and ESC-R Salmonella (especially those producing CTX-M-type ESBLs and the CMY-2 pAmpC) has reached worryingly high values. More recently, the appearance of carbapenem-resistant isolates (i.e., VIM-1-producing Enterobacteriaceae and NDM-1 or OXA-23-producing Acinetobacter spp.) in livestock has even drawn greater concerns. In this review, we describe the aspects related to the spread of the above MDR organisms among pigs, cattle, and poultry, focusing on epidemiology, molecular mechanisms of resistance, impact of antibiotic use, and strategies to contain the overall problem. The link and the impact of ESC-R organisms of livestock origin for the human scenario are also discussed.

Multiprofessional collaboration in teaching practices in all-day-schools in Switzerland

Multiprofessional collaboration in settings of extended education has been an important research topic in the past 40 years and has been discussed as a means to improve educational achievement, foster professional development, and support teachers in their everyday work. Several recent studies in multiprofessional settings found that collaboration practices often remain on a student-centered, time-limited, and superficial level of exchange, whereas higher forms of collaboration are very rare (Dizinger, Fussangel, Kasper, 2011). Furthermore there exists an obvious research gap on collaboration in Swiss all-day schools (Jutzi&Thomann, 2012). In this study we analyzed practices of multiprofessional collaboration in school-based and community-based extracurricular activities of all-day schools in Switzerland. The aim of this qualitative study of 10 all-day schools was to answer the following questions: (a) What forms of collaboration (informal/formal) are used between the different professionals? and (b) Are there different types of all-day schools with regard to distinctive and consistent types of collaboration? We conducted 18 problem-centered interviews (with the principals/heads of the all-day schools) and 10 focus group discussions (teams). In the process of data evaluation, we applied the method of qualitative content analysis. The results show that multiprofessional collabo ration is taking place in all of the all-day schools examined in the study. However, the collaborative practices differ in their level of intensity, design, and purpose.

Conditions promoting good multiprofessional collaboration practices in Swiss all-day schools

Multiprofessional collaboration in all-day schools refers to teamwork and coordination that takes place between professionals with different vocational backgrounds. In Switzerland, all-day schoolscomprise regular school instruction and school-based extracurricular activities. Nevertheless, multiprofessional collaboration can also refer to collaboration between education professionals in all-day schools and professionals outside the school in a community-based setting of extracurricular activities. A synthesis of the literature shows that collaboration inside and outside the school setting is promoted by conditions in three areas: structural characteristics of the institution, characteristics of the team, and interpersonal processes (Schüpbach, Jutzi & Thomann 2012). In view of these findings, it was the aim of this study to analyze conditions of good collaboration practices in all-day schools in Switzerland. This qualitative study examined 10 all-day schools in five different cantons in the German-speaking part of Switzerland that showed good collaboration practice. In the course of this study, we conducted 18 problem-centered interviews and 10 focus group discussions. In the process of data evaluation, we applied the method of qualitative content analy sis. The findings show that all of the three areas of conditions promoting good collaboration proved to be relevant in the whole sample of all-day schools. Nevertheless, for the three different types of collaboration found? The school- oriented, the mixed/in termediate, and the social environment-oriented type? We identified different conditions of good collaboration practice.

Distributed Rate Allocation in Inter-Session Network Coding

In this work, we propose a distributed rate allocation algorithm that minimizes the average decoding delay for multimedia clients in inter-session network coding systems. We consider a scenario where the users are organized in a mesh network and each user requests the content of one of the available sources. We propose a novel distributed algorithm where network users determine the coding operations and the packet rates to be requested from the parent nodes, such that the decoding delay is minimized for all clients. A rate allocation problem is solved by every user, which seeks the rates that minimize the average decoding delay for its children and for itself. Since this optimization problem is a priori non-convex, we introduce the concept of equivalent packet flows, which permits to estimate the expected number of packets that every user needs to collect for decoding. We then decompose our original rate allocation problem into a set of convex subproblems, which are eventually combined to obtain an effective approximate solution to the delay minimization problem. The results demonstrate that the proposed scheme eliminates the bottlenecks and reduces the decoding delay experienced by users with limited bandwidth resources. We validate the performance of our distributed rate allocation algorithm in different video streaming scenarios using the NS-3 network simulator. We show that our system is able to take benefit of inter-session network coding for simultaneous delivery of video sessions in networks with path diversity.

Cross-Layer Optimizations for Multimedia Distribution over Wireless Multimedia Sensor Networks and Flying Ad-Hoc Networks with Quality of Experience Support

The proliferation of multimedia content and the demand for new audio or video services have fostered the development of a new era based on multimedia information, which allowed the evolution of Wireless Multimedia Sensor Networks (WMSNs) and also Flying Ad-Hoc Networks (FANETs). In this way, live multimedia services require real-time video transmissions with a low frame loss rate, tolerable end-to-end delay, and jitter to support video dissemination with Quality of Experience (QoE) support. Hence, a key principle in a QoE-aware approach is the transmission of high priority frames (protect them) with a minimum packet loss ratio, as well as network overhead. Moreover, multimedia content must be transmitted from a given source to the destination via intermediate nodes with high reliability in a large scale scenario. The routing service must cope with dynamic topologies caused by node failure or mobility, as well as wireless channel changes, in order to continue to operate despite dynamic topologies during multimedia transmission. Finally, understanding user satisfaction on watching a video sequence is becoming a key requirement for delivery of multimedia content with QoE support. With this goal in mind, solutions involving multimedia transmissions must take into account the video characteristics to improve video quality delivery. The main research contributions of this thesis are driven by the research question how to provide multimedia distribution with high energy-efficiency, reliability, robustness, scalability, and QoE support over wireless ad hoc networks. The thesis addresses several problem domains with contributions on different layers of the communication stack. At the application layer, we introduce a QoE-aware packet redundancy mechanism to reduce the impact of the unreliable and lossy nature of wireless environment to disseminate live multimedia content. At the network layer, we introduce two routing protocols, namely video-aware Multi-hop and multi-path hierarchical routing protocol for Efficient VIdeo transmission for static WMSN scenarios (MEVI), and cross-layer link quality and geographical-aware beaconless OR protocol for multimedia FANET scenarios (XLinGO). Both protocols enable multimedia dissemination with energy-efficiency, reliability and QoE support. This is achieved by combining multiple cross-layer metrics for routing decision in order to establish reliable routes.

Can the green economy enhance sustainable mountain development? The potential role of awareness building

Mountain socio-ecological systems produce valuable but complex ecosystem services resulting from biomes stratified by altitude and gravity. These systems are often managed and shaped by smallholders whose marginalization is exacerbated by uncertainties and a lack of policy attention. Human–environment interfaces in mountains hence require holistic policies. We analyse the potential of the Global Mountain Green Economy Agenda (GMGEA) in building awareness and thus prompting cross-sectoral policy strategies for sustainable mountain development. Considering the critique of the green economy presented at the Rio + 20 conference, we argue that the GMGEA can nevertheless structure knowledge and inform regional institutions about the complexity of mountain socio-ecological systems, a necessary pre-condition to prompt inter-agency collaboration and cross-sectoral policy formulation. After reviewing the content of the GMGEA, we draw on two empirical cases in the Pakistani and Nepali Himalayas. First, we show that lack of awareness has led to a sequence of fragmented interventions with unanticipated, and unwanted, consequences for communities. Second, using a green economy lens, we show how fragmentation could have been avoided and cross-sectoral policies yielded more beneficial results. Project fragmentation reflects disconnected or layered policies by government agencies, which inherently keep specialized agendas and have no incentive to collaborate. Awareness makes agencies more likely to collaborate and adopt cross-sectoral approaches, allowing them to target more beneficiaries, be more visible, and raise more funds. Nevertheless, we also identify four factors that may currently still limit the effect of the GMGEA: high costs of inter-agency collaboration, lack of legitimacy of the green economy, insufficiently-secured smallholder participation, and limited understanding of the mechanisms through which global agendas influence local policy.