In this talk, I will present operators and systems for querying and managing such Mobile Big Data MBDthat address challenges of performance, privacy, utility and network efficiency.
I will start out by overviewing Anyplace, our open-source Internet-based Indoor Navigation service that won several international research awards for its accuracy and utility. Particularly, I will discuss the challenges in prefetching and privacy-aware data processing of Indoor MBD e.
My talk will be succeeded by a summary of Rayzit, which is an award-winning location-based crowd messaging service that allows a lakeland ob gyn απώλεια βάρους crowd to instantly connect to its k Nearest Neighbors kNN as they move in space. I will particularly focus on Spitfire, which is a distributed algorithm that provides a scalable and high-performance All k Nearest Neighbor processing operator to Rayzit. I will then overview Spate, which is a novel spatio-temporal data processing and analytic system for telecommunication data e.
Finally, I will be concluding with an outlook to our current and future research agenda. However, the radio and backbone infrastructure of such entities spanning densely most urban spaces lakeland ob gyn απώλεια βάρους widely most rural areas, provides nowadays a unique opportunity to collect immense amounts of data that capture a variety of natural phenomena on an lakeland ob gyn απώλεια βάρους basis, e.
These services rely on geo-location databases that store spatial models along with wireless, light and magnetic signals used to localize users and provide better power efficiency and wider coverage than predominant approaches. In this talk I will overview the research χαλαρή απώλεια βάρους ahmedabad the building blocks of the Anyplace IIN, an open, modular, extensible and scalable navigation architecture that exploits crowdsourced Wi-Fi data to develop a novel navigation service that won several international research awards for its utility and accuracy i.
Our MIT-licenced open-source software stack has to this lakeland ob gyn απώλεια βάρους been used by hundreds of researchers and practitioners around the globe, with the public Anyplace service reaching over 80, real user interactions. In the second part of this talk, I will focus on an algorithm we developed for protecting users from location tracking by the IIN service, without hindering the provisioning of fine-grained location updates on a continuous basis.
Our algorithm exploits a lakeland ob gyn απώλεια βάρους Bloom filter and a generator of camouflaged localization requests, both of which are shown to be resilient to a variety of privacy attacks. My talk will conclude with a summary of other recent research work. The ability to perform analytics on the generated big data within a tolerable elapsed time and share it with key Smart City Enablers e.
In this talk, we overview the state-of-the-art in Telco big data analytics by focusing καθαρή ουρήθρα και απώλεια βάρους a set of basic principles, namely: i real-time analytics and detection; ii experience, behavior and retention analytics; iii privacy; and iv storage.
We also present experiences from developing an innovative such architecture and conclude with open problems and future directions. I will start out by overviewing Anyplace, our Internet-based Indoor Navigation service that won several international research awards for its accuracy and utility. Most traditional techniques for computing AkNN queries are centralized, lacking both scalability and efficiency.
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Only recently, distributed techniques for shared-nothing cloud infrastructures have been proposed to achieve scalability for τρόπους για να χάσετε το λίπος σας datasets. These batch-oriented algorithms are sub-optimal due to inefficient data space partitioning and data replication among processing units. In this talk I will present Spitfire, a distributed algorithm that provides a scalable and high performance AkNN processing framework.
The proposed algorithm deploys a fast load-balanced partitioning scheme along with an efficient replication-set selection algorithm, to provide fast main-memory computations of the exact AkNN results in a batch-oriented manner. I will also overview Rayzit, an experimental and open-source mobile AkNN service we established and operate that reached over 45, real user interactions to this date. These services rely on geolocation databases that store spatial models along with wireless, light and magnetic signals used to localize users.
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Джезерак побледнел, но овладел .
Developing IoT-based navigation services creates a new spectrum of information management challenges ranging from crowdsourcing indoor models, acquiring and fusing big-data velocity signals, localization algorithms, location privacy of custodians and others. In this talk, Lakeland ob gyn απώλεια βάρους will overview the current landscape of academic and industrial such services using a multi-dimensional taxonomy of emerging topics in this domain, including location, crowdsourcing, privacy and modeling.
I present the dimensions of our taxonomy through the lens of an open, modular, extensible and scalable navigation architecture, coined Anyplace, concluding with open challenges. In this talk, I will summarize an array of research problems and applications that our laboratory has investigated or aims to investigate in this scope. Particularly, I will discuss the challenges in processing and visualizing indoor big data e.
I will particularly summarize Spitfire, which is a distributed algorithm that provides a scalable and high-performance All k Nearest Neighbor processing framework to Rayzit. I will then overview Spate, which is a novel spatio-temporal time machine for telecommunication data e. Spate supports a range of visual analytic cues heatmaps, POI clusters, etc.
Whatsapp Η λεϊσμανίαση ή Καλαζάρ οφείλεται σε παράσιτο με την ονομασία leishmania που μεταδίδεται στο σκύλο μέσω ορισμένων ειδών σκνιπών. Η σκνίπα είναι ενδιάμεσος ξενιστής και μεταδίδει το παράσιτο όταν ρουφάει αίμα από το ζώο. Την ασθένεια δεν μπορεί να τη μεταδώσει σκύλος σε σκύλο ή σκύλος σε άνθρωπο.
I will finally also introduce GreenCharge, which is a big data GIS architecture to guide electric vehicles to green energy excess. Lakeland ob gyn απώλεια βάρους is expected to maximize self-consumption of electricity by prosumers, contributing in that way to the stability of power grids and a sustainable future.
On the other hand, the uptake of interesting applications in indoor spaces e. Modern smartphones currently rely on Internet-based Indoor Navigation IIN services, which can provide the location of a user upon request. Unfortunately, those technologies are both inaccurate and additionally raise important location privacy concerns, as the IIN can know where the user is at all times. Anyplace deploys a number of innovative concepts, including crowdsourcing, big-data management, energy-aware processing, multi-device optimization and mobile data management, in order to realize a power-efficient and accurate lakeland ob gyn απώλεια βάρους localization and navigation technology.
Our algorithm exploits a k-Anonymity Bloom filter and a generator of camouflaged localization requests both of which are shown to be resilient to a variety of privacy attacks. In the third part of this talk, I will focus on an innovative framework for accurate fast indoor localization over an intermittently connected WiFi coined Prefetching Localization PreLoc.
In the second part of this talk, I will focus on an innovative framework for accurate fast indoor localization over an intermittently connected WiFi coined Prefetching Localization PreLoc. In Lakeland ob gyn απώλεια βάρους Science, these conclusions are often in the form of algorithmic developments or in the form of software artifacts tackling unconventional, real-life challenges.
In both cases, the conclusions have to be publishable at high caliber journals, conferences or competitions, such that the credibility of the developments is externalized and recognized by the wider research community.
While the above type of research is a fundamental attribute of postgraduate studies, undergraduate students are often not part of this process for a variety of reasons, including: i lack of advanced domain knowledge usually taught at the post-graduate level ; ii lack of mathematical or laboratory skills e.
During the last decade, I have applied a wide range of empirical methods to engage undergraduate students in research as soon as they are admitted to the University. Particularly, students have been encouraged through a variety of methods to familiarize themselves with research through our courses and become active contributors to our quest for academic excellence. The applied methods have had some very promising results, particularly: i several summer research internships since for 1st year BSc students ; ii several research interviews available on Youtube since for 2nd year BSc students ; iii 5 distinctions in the Φυσικά ποτά με απώλεια λίπους. ACM SIGMOD programming competition since for 3rd year BSc students ; iv 21 journal and conference proceedings since for 4th year BSc students lakeland ob gyn απώλεια βάρους and v 3 international awards for innovative research systems since again for 3rd and 4th year students.
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Сердце Алистры тосковало, но не горевало, когда она наблюдала его уход.
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In the scope of my case study, I will detail the applied methodology for each different type of activitity and also summarize the lessons learnt. I claim that the provided achievements have helped our undergraduate students to reach their personal goals and our Data Management Systems Laboratory DMSL to meet its research agenda. Particularly, the above engagement allowed 6 students to obtain fellowships for graduate studies e. It lakeland ob gyn απώλεια βάρους imperative for u to have a stable WiFi in order to either continuously receive location from s or to download RMs a priori for offline navigation.
This inherently affects the localization and therefore the navigation experience of users. In paper, we propose an innovative framework for accurate fast indoor localization over an intermittently connected WiFi coined Prefetching Localization PreLoc.
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In Preloc, prioritize the download of RM records based on knowledge from historic traces of other users inside the same Instead of downloading the complete RM from s to we propose a Probabilistic Group Selection PGS strategy, identifies RM records that have a higher probability of necessary to a user moving inside a target area.
We have our framework lakeland ob gyn απώλεια βάρους a real prototype developed in as well as realistic Wi-Fi traces we collected at the of Cyprus. Our experimental study reveals that PreLoc PGS and conventional fingerprint-based indoor positioning can yield accuracy that is as good as using the same with a complete RM even under scenarios of weak Wi-Fi coverage.
My talk will be succeeded by a summary of Rayzit which is an award-winning location-based crowd messaging service that addresses big-data velocity with parallel algorithms and distributed NoSQL databases. The goal is to provide an overview of the emerging field of indoor data management with a particular emphasis on mobile systems. The seminar captures the big picture, such that interested researchers and practitioners can expand their study by following the references.
Modern smartphones currently rely on cloud-based Indoor Positioning Services IPSwhich can provide the location of a user upon request but those are both inaccurate and additionally raise important location privacy concerns, as the IPS can know where the user is at all times.
In this talk, I will start out by overviewing the building blocks of Anyplace, our in-house IPS that recently won several international research awards for its accuracy i.
In the second part of this talk, I will focus on an algorithm we developed for protecting users from location tracking by the IPS, without hindering the provisioning of fine-grained location updates on a continuous basis. In this talk, I will present three 3 ongoing testbeds and applications we are developing in-house in the πόλεμοι απώλειας βάρους of smartphone and human-centric systems: In will start out with SmartLab smartlab.
In SmartLab, an intuitive web-based interface supplies a variety of complex mobile management utilities that provide fine-grained and low-level control over real smartphones, e.
We present our research experiences from using SmartLab in different research settings as well as our envisioned future scenarios for urban-scale deployment, federation issues and security studies. I will continue with Anyplace anyplace. I will conclude with Rayzit rayzit. My talk will be succeeded by a summary of related research efforts, namely SmartLab, which is a novel in-house programming cluster of smartphones that we use in our experimental studies; and Rayzit which is an award-winning location-based crowd messaging service that addresses big-data velocity with parallel algorithms and distributed NoSQL databases.
Smartphone users nowadays gain access to unprecedented possibilities, knowledge and power lakeland ob gyn απώλεια βάρους to lakeland ob gyn απώλεια βάρους diverse landscape of applications. Developers on the other hand are challenged with a fragmented mobile landscape that is extremely dynamic to changes in both hardware and software.
Re-programming smartphones and instrumenting them for application testing and data gathering at scale is currently a tedious and time-consuming process that poses significant logistical challenges. In this talk, we present the abstractions comprising SmartLab, a Mobile Infrastructure as a Service cloud we have developed and deployed at the University of Cyprus.
Мы пробыли под землей достаточно долго. Не успев произнести эти слова, он ощутил их неуместность.
My talk will be succeeded by a summary of related mobile data management research efforts, namely Anyplace, which is our in-house indoor localization and navigation service; and Rayzit which is our award-winning location-based crowd messaging service.
This novel problem-solving model found its way into numerous applications on the web for voting, fund-raising, micro-works and wisdom-of-the-crowd scenarios. Multi-sensing capabilities and multi-modal connectivity means of smartphones offer a great platform for extending and diversifying web-based crowdsourcing applications to a larger contributing crowd, making contribution easier and omnipresent.
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Unfortunately, numerous new challenges ranging from big data stream volume and velocity, to location privacy and energy consumption as well as device diversity issues among other, arise in this new context. In this talk, I will summarize mobile crowdsourcing challenges and applications related to Microblogging Urban Sensing and Indoor Information Systems.
This panel will explore how academia and industry are tackling these challenges and debate on what types of applications are likely to be sustainable under this crowd-sourced paradigm.
On the other hand, the shift of desktop users to mobile platforms in the post-PC era, along with the unique multi-sensing capabilities of modern mobile lakeland ob gyn απώλεια βάρους are expected to eventually unfold the full potential of Crowdsourcing.
This is true, as smartphones offer a great platform for extending and diversifying web-based crowdsourcing applications to a larger contributing crowd, making contribution easier and omnipresent.
This advanced seminar presents the fundamental concepts behind crowdsourcing and its applications to mobile data management. In the first part of the seminar, we will lakeland ob gyn απώλεια βάρους the crowdsourcing landscape from a variety of perspectives, with a particular emphasis on the latest data management trends.
In the second and more extended part of the seminar, we will focus on an in-depth coverage of emerging mobile crowdsourcing architectures and systems, through a multi-dimensional taxonomy that will address location, sensing, power, performance, big-data and privacy among others. Furthermore, we will overview a number of in-house crowdsourcing prototypes we have developed and deployed over the last few years.
The seminar concludes with challenges opportunities and new directions in the field. Big data sizes commonly range from a few dozen terabytes to many petabytes in a single database and their underlying data model might be anything from structured relational or tabular to semi-structured XML or JSON or even unstructured Web text and log files.
Such systems typically perform on mid-scale private clouds, offering higher privacy, to large-scale public clouds, both exposing operational and analytic functionality stand-alone or as-a-Service.
This talk aims to overview the current big-data management landscape, the underlying technologies and their provenance, the latest NoSQL and NewSQL trends, possible applications of big-data management systems for online and offline processing of sensor data, text data, social data and medical data in enterprise environments.
The talk will also overview ongoing big-data research and teaching activities at the University of Cyprus. Science, University of Cyprus, Nicosia Cyprus, February 11, Smartphone devices have emerged as powerful computational platforms equipped with multitude of sensors that are capable of generating vast amounts of data geo-location, audio, video, etc.
Collections of such devices connected to the Internet yield Smartphone Networks, which can be utilized for opportunistic and participatory sensing applications in intelligent transportation systems, social networking applications, city planning lakeland ob gyn απώλεια βάρους others. In this talk, I will present a collection of ongoing testbeds and applications we are developing in-house for this new era of ubiquituous smartphone computing.
SmartLab is the first open Smartphone IaaS Infrastructure-as-a-Service cloud that enables fine-grained, low-level interactions over static or moving smartphones via an intuitive web-based interface.
Such a testbed provides means for general-purpose urban-scale sensing scenarios and personal gadget management. This talk will also briefly cover other smartphone sensing testbeds and applications we 've developed: a localization engine for fine-grained απώλεια βάρους στο sharjah without GPS, a trajectory comparinson framework with privacy gurranttees, a P2P smartphone searching framework and a neighborhood sensing framework.
Collections of smartphones connected to lakeland ob gyn απώλεια βάρους Internet are nowadays proposed for opportunistic and participatory sensing applications in intelligent transportation systems, social networking applications, city planning and many other domains, prompting undeniably the post-PC era.
In this talk, I will present distributed architectures for querying and managing such sensor data by taking into account energy, data disclosure and networking aspects. I will particularly focus on SmartTrace, a powerful query processing framework for finding similar smartphone trajectories without disclosing the traces of participating users.
Finally, I will also overview other related smartphone data management frameworks we 've developed for peer-to-peer search, crowdsourcing and indoor positioning, concluding with an outlook to our future research agenda.
ACM Workshop on Data Engineering for Wireless and Mobile Access MobiDE '11Athens Greece, June 12, Smartphone devices have emerged as powerful computational platforms equipped with multitude of sensors that are capable of generating lakeland ob gyn απώλεια βάρους amounts of data geo-location, audio, video, etc. The uptake of applications in this domain, is currently severely hampered by the fact that these devices have: i a limited energy budget i.
In this talk, I will present a collection of data management techniques that deal with Smartphone Networks. In particular, I will start out with SmartTrace, a powerful framework for finding similar trajectories in a smartphone network without disclosing the traces of the participating users.
SmartTrace relies lakeland ob gyn απώλεια βάρους an in-situ data storage model, where geo-location data is recorded locally on smartphones for both performance and data-disclosure reasons.