Soft robotics: Challenges and perspectives

There has been an increasing interest in the use of unconventional materials and morphologies in robotic systems because the underlying mechanical properties (such as body shapes, elasticity, viscosity, softness, density and stickiness) are crucial research topics for our in-depth understanding of embodied intelligence. The detailed investigations of physical system-environment interactions are particularly important for systematic development of technologies and theories of emergent adaptive behaviors. Based on the presentations and discussion in the Future Emerging Technology (fet11) conference, this article introduces the recent technological development in the field of soft robotics, and speculates about the implications and challenges in the robotics and embodied intelligence research. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

Direct decomposition of NO over the mixed oxide catalysts Nd_(2-)Sr_xNiO_(4±λ)

The nitrogen oxides (NO_x) are serious pollutants in earth's atmosphere in the sensethat they are one of the main sources to cause the acid rain. The removal of NO_x is oneof the key research topics in the protection of environmen.

可重构模块化机器人现状和发展

由于市场全球化的竞争 ,机器人的应用范围要求越来越广 ,而每种机器人的构形仅能适应一定的有限范围 ,因此机器人的柔性不能满足市场变化的要求 ,解决这一问题的方法就是开发可重构机器人系统 .本文介绍了可重构机器人的发展状况 ,分析了可重构机器人的研究内容和发展方向 .

基于机器人的可重构装配系统

本文分析了市场全球化给企业带来的挑战和机遇 ,提出了基于机器人的可重构装配系统 .在分析国外在可重构制造领域的研究状况的基础上 ,提出了基于机器人可重构装配系统的设计内容和方法 ,并提出了可重构装配系统今后需研究的方向

Investment incentives and valuation of power sector infrastructure assets with increasing interconnection, intermittency and decarbonisation

This dissertation applies a variety of quantitative methods to electricity and carbon market data, utility company accounts data, capital and operating costs to analyse some of the challenges associated with investment in energy assets. In particular, three distinct research topics are analysed within this general theme: the efficiency of interconnector trading, the optimal sizing of intermittent wind facilities and the impact of carbon pricing on the cost of capital for investors are researched in successive sections.

Design of Scheduling Algorithms Using Game Theoretic Ideas

Scheduling a set of jobs over a collection of machines to optimize a certain quality-of-service measure is one of the most important research topics in both computer science theory and practice. In this thesis, we design algorithms that optimize {\em flow-time} (or delay) of jobs for scheduling problems that arise in a wide range of applications. We consider the classical model of unrelated machine scheduling and resolve several long standing open problems; we introduce new models that capture the novel algorithmic challenges in scheduling jobs in data centers or large clusters; we study the effect of selfish behavior in distributed and decentralized environments; we design algorithms that strive to balance the energy consumption and performance.

The technically interesting aspect of our work is the surprising connections we establish between approximation and online algorithms, economics, game theory, and queuing theory. It is the interplay of ideas from these different areas that lies at the heart of most of the algorithms presented in this thesis.

The main contributions of the thesis can be placed in one of the following categories.

1. Classical Unrelated Machine Scheduling: We give the first polygorithmic approximation algorithms for minimizing the average flow-time and minimizing the maximum flow-time in the offline setting. In the online and non-clairvoyant setting, we design the first non-clairvoyant algorithm for minimizing the weighted flow-time in the resource augmentation model. Our work introduces iterated rounding technique for the offline flow-time optimization, and gives the first framework to analyze non-clairvoyant algorithms for unrelated machines.

2. Polytope Scheduling Problem: To capture the multidimensional nature of the scheduling problems that arise in practice, we introduce Polytope Scheduling Problem (\psp). The \psp problem generalizes almost all classical scheduling models, and also captures hitherto unstudied scheduling problems such as routing multi-commodity flows, routing multicast (video-on-demand) trees, and multi-dimensional resource allocation. We design several competitive algorithms for the \psp problem and its variants for the objectives of minimizing the flow-time and completion time. Our work establishes many interesting connections between scheduling and market equilibrium concepts, fairness and non-clairvoyant scheduling, and queuing theoretic notion of stability and resource augmentation analysis.

3. Energy Efficient Scheduling: We give the first non-clairvoyant algorithm for minimizing the total flow-time + energy in the online and resource augmentation model for the most general setting of unrelated machines.

4. Selfish Scheduling: We study the effect of selfish behavior in scheduling and routing problems. We define a fairness index for scheduling policies called {\em bounded stretch}, and show that for the objective of minimizing the average (weighted) completion time, policies with small stretch lead to equilibrium outcomes with small price of anarchy. Our work gives the first linear/ convex programming duality based framework to bound the price of anarchy for general equilibrium concepts such as coarse correlated equilibrium.

A comprehensive study of visual cryptography

In this survey, we will summarize the latest developments of visual cryptography since its inception in 1994, introduce the main research topics in this area and outline the current problems and possible solutions. Directions and trends for future VC work shall also be examined along with possible VC applications.

Impact of Cyber-Security Issues on Smart Grid

Greater complexity and interconnectivity across systems embracing Smart Grid technologies has meant that cyber-security issues have attracted significant attention. This paper describes pertinent cyber-security requirements, in particular cyber attacks and countermeasures which are critical for reliable Smart Grid operation. Relevant published literature is presented for critical aspects of Smart Grid cyber-security, such as vulnerability, interdependency, simulation, and standards. Furthermore, a preliminary study case is given which demonstrates the impact of a cyber attack which violates the integrity of data on the load management of real power system. Finally, the paper proposes future work plan which focuses on applying intrusion detection and prevention technology to address cyber-security issues. This paper also provides an overview of Smart Grid cyber-security with reference to related cross-disciplinary research topics.

Gaussian States in Quantum Information

These notes originated out of a set of lectures in Quantum Optics and Quantum Information given by one of us (MGAP) at the University of Napoli and the University of Milano. A quite broad set of issues are covered, ranging from elementary concepts to current research topics, and from fundamental concepts to applications. A special emphasis has been given to the phase space analysis of quantum dynamics and to the role of Gaussian states in continuous variable quantum information.

Reducing the visual burden of glaucoma in Asia: what we know and what we need to know.

Despite great progress in elucidating risk factors and effective treatments for eye disease in the last decades, blindness prevalence in the developing and developed world is either static or rising. A research agenda is needed to develop and test specific strategies to reduce the burden of blindness from glaucoma and other common eye diseases. Current knowledge about open and closed-angle glaucoma is reviewed and a strategy to reduce glaucoma blindness in Asia is suggested. A critical component of this strategy is enhanced training in the detection of narrow angles and optic nerve damage by direct examination. Specific research topics that could inform such a strategy are outlined.

QUADrATiC: scalable gene expression connectivity mapping for repurposing FDA-approved therapeutics

Background: Gene expression connectivity mapping has proven to be a powerful and flexible tool for research. Its application has been shown in a broad range of research topics, most commonly as a means of identifying potential small molecule compounds, which may be further investigated as candidates for repurposing to treat diseases. The public release of voluminous data from the Library of Integrated Cellular Signatures (LINCS) programme further enhanced the utilities and potentials of gene expression connectivity mapping in biomedicine. Results: We describe QUADrATiC (http://go.qub.ac.uk/QUADrATiC), a user-friendly tool for the exploration of gene expression connectivity on the subset of the LINCS data set corresponding to FDA-approved small molecule compounds. It enables the identification of compounds for repurposing therapeutic potentials. The software is designed to cope with the increased volume of data over existing tools, by taking advantage of multicore computing architectures to provide a scalable solution, which may be installed and operated on a range of computers, from laptops to servers. This scalability is provided by the use of the modern concurrent programming paradigm provided by the Akka framework. The QUADrATiC Graphical User Interface (GUI) has been developed using advanced Javascript frameworks, providing novel visualization capabilities for further analysis of connections. There is also a web services interface, allowing integration with other programs or scripts.Conclusions: QUADrATiC has been shown to provide an improvement over existing connectivity map software, in terms of scope (based on the LINCS data set), applicability (using FDA-approved compounds), usability and speed. It offers potential to biological researchers to analyze transcriptional data and generate potential therapeutics for focussed study in the lab. QUADrATiC represents a step change in the process of investigating gene expression connectivity and provides more biologically-relevant results than previous alternative solutions.

O empreendedorismo português na cidade do Recife na primeira metade do século XX

A tese analisa o empreendedorismo do imigrante português na cidade do Recife, Estado de Pernambuco, Nordeste do Brasil, durante a primeira metade do século XX. O foco da tese pode ser assim formulado: teria o imigrante português sido empreendedor nesse cenário de mudança econômica e cultural dos primeiros cinquenta anos do século XX, seja como grupo étnico, seja como pessoa de comportamento empreendedor? O corpus teórico principal é, portanto, derivado do campo do empreendedorismo. É uma pesquisa interdisciplinar, que se ampara nas áreas de história, estudos migratórios, econômicos e organizacionais. De acordo com a literatura consultada, esse tipo de abordagem não é incomum no vasto campo do empreendedorismo (Fillion, 1999 e Martinelli, 2007). À luz dessa visão interdisciplinar, a investigação debruça-se sobre o período referido, resgata a trajetória desse imigrante no país e no Recife e discute sua inserção na economia e sociedade locais. Identifica características do dinamismo econômico comercial existente no período e reconstrói a atmosfera de modernidade que a cidade atravessava no mesmo interregno histórico. Para seu desenvolvimento, a pesquisa se apóia em conteúdos de estudos migratórios, históricos e econômicos porque nesse interregno de tempo, a cidade do Recife estava atravessando a chamada era da modernidade nas esferas econômica, cultural e comportamental. No que diz respeito às questões migratórias, a pertinência é óbvia porque o tema do trabalho tem como alvo o imigrante luso. Já quanto à esfera econômica e ao contexto histórico da modernidade, seus conteúdos são trabalhados como o cenário ou o teatro de operações no qual o ator social, imigrante luso, movimentou-se. O trabalho adota, portanto, o olhar de ourives a procurar e a espiar nos textos, livros, discursos visitados e entrevistas realizadas, eventos ou sinais que conduzam à compreensão e interpretação do comportamento do ator econômico, o imigrante português, na história empresarial da cidade do Recife, na condição de empreendedor. Trata-se, por assim dizer, de uma pesquisa de postura quase arqueológica voltada a procurar achados, materiais e imateriais, que denunciem e permitam a discussão e análise do foco acima citado. Diferentemente de pesquisas recentes a serem referidas no capítulo III que exploram o comportamento empreendedor e o empreendedorismo étnico no cenário dos dias de hoje, o estudo olha pelo retrovisor para quase um século atrás e tenta reconstituir e identificar, na história do imigrante português na cidade, conteúdos empreendedorísticos. Está estruturada em 09 (nove) capítulos. No primeiro, são indicados os objetivos perseguidos, a relevância do estudo sob o ponto de vista teórico e os percalços que a pesquisa atravessou para atingir seu termo final. Faz-se, ainda, uma apresentação detalhada dos demais capítulos do trabalho. No corpo do texto, estão ainda, estampadas imagens que testemunham a presença lusa na cidade e documentam a atmosfera da vida do Recife, no período pesquisado. Os resultados encontrados sinalizam para evidências consistentes de empreendedorismo de natureza étnico lusitana nas cadeias produtivas – conceito a ser definido no 9º capítulo– das indústrias da panificação; de terreno, ferragens e construção; e alimentos em geral. Indica, ainda, comportamento empreendedor do imigrante português em diversas atividades econômicas, desde exportação e importação, cafés, restaurantes até o setor de entretenimento em geral. Acredita-se, destarte, que os resultados alcançados podem aditar contribuições relevantes nos campos referidos acima, bem como indicar novos temas de investigação que desdobrem sugestões formuladas nas considerações finais da investigação.

Exploring the consumer decision journey and online shoping experience through an emotional prespective

Traditional consumer decision-making models have long used quantitative research to address a link between emotional and rational behavior. However, little qualitative research has been conducted in the area of online shopping as an end-to-end experience. This study aims to provide a detailed phenomenological account of consumers’ online shopping experience and extend Mckinsey & Companys’s consumer decision journey model from an emotional perspective. Six semi-structured interviews and a focus group of nine people are analyzed using Interpretive Phenomenology Analysis and five superordinate themes emerged from the results: emotional experience, empathy and encouragement, in relation to brand preference, emotional encounters in relation to consumer satisfaction and emotional exchange and relationship with a company or brand. A model interrelating these themes is then introduced to visually represent the emotional essence of a large online purchase. This study promises to be applicable as a descriptive, and perhaps, better predictive report for understanding the complex consumer decision-making process as it relates to online consumer behavior. Future research topics are also identified.

Effets des changements climatiques sur la santé et la sécurité des travailleurs au Québec

Les impacts des changements climatiques sur la population sont nombreux et ont été relativement bien documentés, ce qui n’est pas le cas de ces impacts sur la santé et la sécurité des travailleurs. L’objectif de cette thèse est de documenter les effets négatifs des changements climatiques sur la santé et la sécurité des travailleurs dans une région d’un pays industrialisé à climat tempéré, comme le Québec. Pour y arriver, deux approches ont été utilisées : a) les dangers et les effets sanitaires ont été identifiés par une revue de la littérature validée par des experts nationaux et internationaux, et des priorités de recherche ont été établies à l’aide d’une méthode de consultation itérative, b) des modèles statistiques, utiles à l’estimation des impacts sanitaires des changements climatiques, ont été développés pour apprécier les associations entre la survenue de lésions professionnelles et l’exposition des travailleurs aux chaleurs estivales et à l’ozone troposphérique, deux problématiques préoccupantes pour le Québec. Le bilan des connaissances a mis en évidence cinq catégories de dangers pouvant affecter directement ou indirectement la santé et la sécurité des travailleurs au Québec (vagues de chaleur, polluants de l’air, rayonnements ultraviolets, événements météorologiques extrêmes, maladies vectorielles transmissibles et zoonoses) et cinq conditions pouvant entraîner des modifications dans l’environnement de travail et pouvant ultimement affecter négativement la santé et la sécurité des travailleurs (changements dans les méthodes agricoles et d’élevage, altérations dans l’industrie de la pêche, perturbations de l’écosystème forestier, dégradation de l’environnement bâti et émergence de nouvelles industries vertes). Quant aux modélisations, elles suggèrent que les indemnisations quotidiennes pour des maladies liées à la chaleur et pour des accidents de travail augmentent avec les températures estivales, et que ces associations varient selon l’âge des travailleurs, le secteur industriel et la catégorie professionnelle (manuelle vs autre). Des associations positives statistiquement non significatives entre les indemnisations pour des atteintes respiratoires aiguës et les concentrations d’ozone troposphérique ont aussi été observées. Dans l’ensemble, cette thèse a permis de dégager douze pistes de recherche prioritaires pour le Québec se rapportant à l’acquisition de connaissances, à la surveillance épidémiologique et au développement de méthodes d’adaptation. Selon les résultats de cette recherche, les intervenants en santé au travail et les décideurs devraient déployer des efforts pour protéger la santé et la sécurité des travailleurs et mettre en place des actions préventives en vue des changements climatiques.

Semantic network analysis of ontologies

A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures in general currently receive high attention in the Semantic Web community, there are only very few SNA applications up to now, and virtually none for analyzing the structure of ontologies. We illustrate in this paper the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality based on Hermitian matrices, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.