A criteria based function for reconstructing low-sampling trajectories as a tool for analytics

Abstract: Mobile applications equipped with Global Positioning Systems have generated a huge quantity of location data with sampling uncertainty that must be handled and analyzed. Those location data can be ordered in time to represent trajectories of moving objects. The data warehouse approach based on spatio-temporal data can help on this task. For this reason, we address the problem of personalized reconstruction of low-sampling trajectories based on criteria over a graph for including criteria of movement as a dimension in a trajectory data warehouse solution to carry out analytical tasks over moving objects and the environment where they moveMaestrí

The Connected Caribbean

The modern-day Caribbean is a stunningly diverse but also intricately interconnected geo-cultural region, resulting partly from the islands’ shared colonial histories and an increasingly globalizing economy. Perhaps more importantly, before the encounter between the New and Old World took place, the indigenous societies and cultures of the pre-colonial Caribbean were already united in diversity. This work seeks to study the patterns of this pre-colonial homogeneity and diversity and uncover some of their underlying processes and dynamics. In contrast to earlier studies of its kind, this study adopts an archaeological network approach, in part derived from the network sciences. In archaeology, network approaches can be used to explore the complex relations between objects, sites or other archaeological features, and as such represents a powerful new tool for studying material culture systems. Archaeological research in general aims to uncover the social relations and human interactions underlying these material culture systems. Therefore, the interdependencies between social networks and material culture systems are another major focus of this study. This approach and theoretical framework is tested in four case studies dealing with lithic distribution networks, site assemblages as ego-networks, indigenous political networks, and the analysis of artefact styles in 2-mode networks. These were selected for their pertinence to key research themes in Caribbean archaeology, in particular the current debates about the nature of ties and interactions between culturally different communities in the region, and the structure and dynamics of pre-colonial socio-political organisation. The outcomes of these case studies show that archaeological network approaches can provide surprising new insights into longstanding questions about the patterns of pre-colonial connectivity in the region

The Adjudication Business

The recent proliferation of international commercial courts around the world is changing the global business of adjudication. The rise of these courts challenges received accounts of the competitive relationships between and among courts and arbitral tribunals for this business. London and New York have long beenconsidered the forums of choice in international commercial contracts—whether parties opt for litigation or arbitration. More recently, however, English-language-friendly international commercial courts have been established in China (2018), Singapore (2015), Qatar (2009), Dubai (2004), the Netherlands (2019), Germany (2018), France (2010), and beyond. The emerging scholarship addressing these new courts tends to view them as engaged in a global competition with each other and with arbitration to create the most efficient dispute resolution mechanism. That account oversimplifies. The creation of each of these courts is driven by multiple factors on the ground. This Article makes four contributions to the study of international commercial courts and their relationship to arbitration. First, it offers a categorization of international commercial courts based on the forces apparently driving their creation. Second, it critiques the “race to the top” narrative both within the law-and-economics framework and outside of it, drawing attention to the range of domestic and international forces driving the courts’ rise. The courts’ success therefore will not necessarily be based on the excellence of the adjudication they provide, but rather on other metrics, such as the number of cases or amount of investment they attract, that reflect what drove States to create the international commercial court in the first place. Third, these courts challenge the traditional U.S. view that arbitration and litigation are opposites. In fact, international commercial courts borrow many features from arbitration, like expert adjudicators, confidentiality, and customizable procedures. These courts thus pose the questions: what characteristics of arbitration and litigation are fundamental, and what do parties prefer? Fourth, the Article celebrates procedural innovation but warns international commercial courts against becoming beholden to either sovereign or private interests.

Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994

The Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space (i-SAIRAS 94), held October 18-20, 1994, in Pasadena, California, was jointly sponsored by NASA, ESA, and Japan's National Space Development Agency, and was hosted by the Jet Propulsion Laboratory (JPL) of the California Institute of Technology. i-SAIRAS 94 featured presentations covering a variety of technical and programmatic topics, ranging from underlying basic technology to specific applications of artificial intelligence and robotics to space missions. i-SAIRAS 94 featured a special workshop on planning and scheduling and provided scientists, engineers, and managers with the opportunity to exchange theoretical ideas, practical results, and program plans in such areas as space mission control, space vehicle processing, data analysis, autonomous spacecraft, space robots and rovers, satellite servicing, and intelligent instruments

The Adjudication Business

The recent proliferation of international commercial courts around the world is changing the global business of adjudication. The rise of these courts also challenges the traditional accounts of the competitive relationship between and among courts and arbitral tribunals for this business. London and New York have long been considered the forum of choice in international commercial contracts—whether parties opt for litigation or arbitration. More recently, however, English-language-friendly international commercial courts have been established in China (2018), Singapore (2015), Qatar (2009), Dubai (2004), the Netherlands (2019), Germany (2018), France (2010), and beyond. The emerging scholarship addressing these new courts tends to view them as engaged in a global competition with each other and with arbitration to create the most efficient dispute resolution mechanism. That account oversimplifies. The creation of each of these courts is driven by multiple, different factors on the ground. This Article makes four contributions. First, it offers a categorization of international commercial courts based on the forces apparently driving their creation. Second, it critiques the “race to the top” narrative both within the law-and-economics framework and outside it, drawing attention to the range of domestic and international forces driving the courts’ rise. The courts’ success therefore will not necessarily be based on the excellence of adjudication they provide, but rather on other metrics, like the number of cases or amount of investment they attract, that reflect what drove states to create the international commercial court in the first place. Third, these courts counter a traditional U.S. narrative that arbitration and litigation are opposites. International commercial courts borrow many features from arbitration, like expert adjudicators, confidentiality, and customizable procedures. These courts thus raise questions about what characteristics of arbitration and litigation are fundamental and what parties prefer. Fourth, the Article celebrates procedural innovation but warns international commercial courts against becoming beholden to either sovereign or private interests

Exploring Transitions Back and into College: Stories of Adult Women

Women are juggling multiple roles such as mother, wife, partner and employee that could intensify a complex transition process to a new role of college student (Lin, 2016; Noll, Reichlin, & Gualt, 2017; Veney, O’Green & Kowalik, 2012). The purpose of this qualitative study was to describe a transition process of women to a role of college student a to understand why they might not graduate. Sociocultural theory embedded within Schlossberg’s transition model assisted with understanding the transition process of moving-in, moving-through, and moving-out. A qualitative research design was employed to describe this complex transition process and to answer the question how do women experience the transition process? The study suggests the transition process occurred in two phases (i.e., Phase 1-Transition and Phase 2-Ebb and Flow). This study addresses the gap in the literature regarding knowledge about women’s transition process to a role of campus student

Graph pattern matching on social network analysis

Graph pattern matching is fundamental to social network analysis. Its effectiveness for identifying social communities and social positions, making recommendations and so on has been repeatedly demonstrated. However, the social network analysis raises new challenges to graph pattern matching. As real-life social graphs are typically large, it is often prohibitively expensive to conduct graph pattern matching over such large graphs, e.g., NP-complete for subgraph isomorphism, cubic time for bounded simulation, and quadratic time for simulation. These hinder the applicability of graph pattern matching on social network analysis. In response to these challenges, the thesis presents a series of effective techniques for querying large, dynamic, and distributively stored social networks. First of all, we propose a notion of query preserving graph compression, to compress large social graphs relative to a class Q of queries. We then develop both batch and incremental compression strategies for two commonly used pattern queries. Via both theoretical analysis and experimental studies, we show that (1) using compressed graphs Gr benefits graph pattern matching dramatically; and (2) the computation of Gr as well as its maintenance can be processed efficiently. Secondly, we investigate the distributed graph pattern matching problem, and explore parallel computation for graph pattern matching. We show that our techniques possess following performance guarantees: (1) each site is visited only once; (2) the total network traffic is independent of the size of G; and (3) the response time is decided by the size of largest fragment of G rather than the size of entire G. Furthermore, we show how these distributed algorithms can be implemented in the MapReduce framework. Thirdly, we study the problem of answering graph pattern matching using views since view based techniques have proven an effective technique for speeding up query evaluation. We propose a notion of pattern containment to characterise graph pattern matching using views, and introduce efficient algorithms to answer graph pattern matching using views. Moreover, we identify three problems related to graph pattern containment, and provide efficient algorithms for containment checking (approximation when the problem is intractable). Fourthly, we revise graph pattern matching by supporting a designated output node, which we treat as “query focus”. We then introduce algorithms for computing the top-k relevant matches w.r.t. the output node for both acyclic and cyclic pattern graphs, respectively, with early termination property. Furthermore, we investigate the diversified top-k matching problem, and develop an approximation algorithm with performance guarantee and a heuristic algorithm with early termination property. Finally, we introduce an expert search system, called ExpFinder, for large and dynamic social networks. ExpFinder identifies top-k experts in social networks by graph pattern matching, and copes with the sheer size of real-life social networks by integrating incremental graph pattern matching, query preserving compression and top-k matching computation. In particular, we also introduce bounded (resp. unbounded) incremental algorithms to maintain the weighted landmark vectors which are used for incremental maintenance for cached results

Préserver la vie privée des individus grâce aux Systèmes Personnels de Gestion des Données

Riding the wave of smart disclosure initiatives and new privacy-protection regulations, the Personal Cloud paradigm is emerging through a myriad of solutions offered to users to let them gather and manage their whole digital life. On the bright side, this opens the way to novel value-added services when crossing multiple sources of data of a given person or crossing the data of multiple people. Yet this paradigm shift towards user empowerment raises fundamental questions with regards to the appropriateness of the functionalities and the data management and protection techniques which are offered by existing solutions to laymen users. Our work addresses these questions on three levels. First, we review, compare and analyze personal cloud alternatives in terms of the functionalities they provide and the threat models they target. From this analysis, we derive a general set of functionality and security requirements that any Personal Data Management System (PDMS) should consider. We then identify the challenges of implementing such a PDMS and propose a preliminary design for an extensive and secure PDMS reference architecture satisfying the considered requirements. Second, we focus on personal computations for a specific hardware PDMS instance (i.e., secure token with mass storage of NAND Flash). In this context, we propose a scalable embedded full-text search engine to index large document collections and manage tag-based access control policies. Third, we address the problem of collective computations in a fully-distributed architecture of PDMSs. We discuss the system and security requirements and propose protocols to enable distributed query processing with strong security guarantees against an attacker mastering many colluding corrupted nodes.Surfant sur la vague des initiatives de divulgation restreinte de données et des nouvelles réglementations en matière de protection de la vie privée, le paradigme du Cloud Personnel émerge à travers une myriade de solutions proposées aux utilisateurs leur permettant de rassembler et de gérer l'ensemble de leur vie numérique. Du côté positif, cela ouvre la voie à de nouveaux services à valeur ajoutée lors du croisement de plusieurs sources de données d'un individu ou du croisement des données de plusieurs personnes. Cependant, ce changement de paradigme vers la responsabilisation de l'utilisateur soulève des questions fondamentales quant à l'adéquation des fonctionnalités et des techniques de gestion et de protection des données proposées par les solutions existantes aux utilisateurs lambda. Notre travail aborde ces questions à trois niveaux. Tout d'abord, nous passons en revue, comparons et analysons les alternatives de cloud personnel au niveau des fonctionnalités fournies et des modèles de menaces ciblés. De cette analyse, nous déduisons un ensemble général d'exigences en matière de fonctionnalité et de sécurité que tout système personnel de gestion des données (PDMS) devrait prendre en compte. Nous identifions ensuite les défis liés à la mise en œuvre d'un tel PDMS et proposons une conception préliminaire pour une architecture PDMS étendue et sécurisée de référence répondant aux exigences considérées. Ensuite, nous nous concentrons sur les calculs personnels pour une instance matérielle spécifique du PDMS (à savoir, un dispositif personnel sécurisé avec un stockage de masse de type NAND Flash). Dans ce contexte, nous proposons un moteur de recherche plein texte embarqué et évolutif pour indexer de grandes collections de documents et gérer des politiques de contrôle d'accès basées sur des étiquettes. Troisièmement, nous abordons le problème des calculs collectifs dans une architecture entièrement distribuée de PDMS. Nous discutons des exigences d'architectures système et de sécurité et proposons des protocoles pour permettre le traitement distribué des requêtes avec de fortes garanties de sécurité contre un attaquant maîtrisant de nombreux nœuds corrompus

Advances in Public Transport Platform for the Development of Sustainability Cities

Modern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency