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Improving Large-Scale Fingerprint-Based Queries in Distributed Infrastructure [chapter]

Shupeng Wang, Guangjun Wu, Binbin Li, Xin Jin, Ge Fu, Chao Li, Jiyuan Zhang
2018 Lecture Notes in Computer Science  
In this paper, we propose an efficient approach to improving the performance of large-scale fingerprint-based queries in a distributed infrastructure.  ...  Large-scale fingerprint-based query can be used as an important tool in big data analytics, such as set membership query, rank-based query and correlationship query etc.  ...  In this paper, we propose a distributed sketching framework to boost the performance of the large-scale queries, such as continuously membership queries and rank-based queries.  ... 
doi:10.1007/978-3-319-93713-7_36 fatcat:3aglyygembf6rdiz5batit65ui

SHHC: A Scalable Hybrid Hash Cluster for Cloud Backup Services in Data Centers

Lei Xu, Jian Hu, Stephen Mkandawire, Hong Jiang
2011 2011 31st International Conference on Distributed Computing Systems Workshops  
This approach limits the overall throughput and concurrency performance in large scale systems.  ...  In this paper we present a scalable hybrid hash cluster (SHHC) to maintain a low-latency distributed hash table for storing data fingerprints.  ...  SHHC is a distributed fingerprint store and lookup service which can scale to handle a very large number of concurrent backup clients while maintaining high backup throughput for hash based in-line deduplication  ... 
doi:10.1109/icdcsw.2011.31 dblp:conf/icdcsw/XuHMJ11 fatcat:eegtsfncbbfdrj6xb2rhzlhrxu

Experiences with performance tradeoffs in practical, continuous indoor localization

Azeem J. Khan, Vikash Ranjan, Trung-Tuan Luong, Rajesh Balan, Archan Misra
2013 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)  
develop a novel and practical infrastructure-based location tracking strategy.  ...  To ensure that our solution can handle both Android and iOS-based mobile devices (& other closed mobile platforms), we adapt the conventional clientside fingerprinting-based localization approaches to  ...  In addition, most of the traditional Wi-Fi fingerprinting based approaches implicitly assume that the mobile clients are able to periodically query the signal strengths of all the Wi-Fi APs deployed in  ... 
doi:10.1109/wowmom.2013.6583387 dblp:conf/wowmom/KhanRLBM13 fatcat:724rlaawn5hernvddmfm4klppe

A 3D MAP AIDED DEEP LEARNING BASED INDOOR LOCALIZATION SYSTEM FOR SMART DEVICES

Y. Yang, C. Toth, D. Brzezinska
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This work presents a method for efficient and robust indoor localization, allowing to support applications in large-scale environments.  ...  To achieve high performance, the proposed concept integrates two main indoor localization techniques: Wi-Fi fingerprinting and deep learning-based visual localization using 3D map.  ...  In the future work, we will try to (1) make improvement on the quality of 3D model, and then (2) test the system on large-scale indoor environment. Figure 1 . 1 Overview of the proposed system.  ... 
doi:10.5194/isprs-archives-xliii-b4-2020-391-2020 fatcat:jjyqlfldgbbplpmrktdytgn67e

Visual Search at Pinterest [article]

Yushi Jing and David Liu and Dmitry Kislyuk and Andrew Zhai and Jiajing Xu and Jeff Donahue and Sarah Tavel
2017 arXiv   pre-print
a cost-effective, large-scale visual search system with widely available tools.  ...  We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powered by visual search improve user engagement.  ...  or an academic lab to build a large-scale visual search system using a combination of non-proprietary tools.  ... 
arXiv:1505.07647v3 fatcat:or56oerg2zdqdekxc6bzwqtuna

Visual Search at Pinterest

Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
a cost-effective, large-scale visual search system.  ...  We also demonstrate, through a comprehensive set of live experiments at Pinterest, that content recommendation powered by visual search improves user engagement.  ...  or an academic lab to build a large-scale visual search system using a combination of non-proprietary tools.  ... 
doi:10.1145/2783258.2788621 dblp:conf/kdd/JingLKZXDT15 fatcat:7vpuuu4uf5dl5nm3ilh2gi4ynu

Camera-based piano sheet music identification

Daniel Yang, Timothy Tsai
2020 Zenodo  
This paper presents a method for large-scale retrieval of piano sheet music images. Our work differs from previous studies on sheet music retrieval in two ways.  ...  In experiments on IMSLP data, our proposed method achieves a mean reciprocal rank of 0.85 and an average runtime of 0.98 seconds per query.  ...  Nonetheless, it has been shown to be effective in aligning sheet music and MIDI, and we hypothesize that it may also be used effectively for large-scale retrieval.  ... 
doi:10.5281/zenodo.4245476 fatcat:vypktz6qkzfprm5b7wefj25wwy

Sourcerer: mining and searching internet-scale software repositories

Erik Linstead, Sushil Bajracharya, Trung Ngo, Paul Rigor, Cristina Lopes, Pierre Baldi
2008 Data mining and knowledge discovery  
Here we first develop Sourcerer, an infrastructure for the automated crawling, parsing, fingerprinting, and database storage of open source software on an Internet-scale.  ...  In addition to serving as a convenient summary for program function and developer activities, these and other related distributions provide a statistical and information-theoretic basis for quantifying  ...  Acknowledgements Work in part supported by National Science Foundation MRI grant EIA-0321390 and a Microsoft Faculty Research Award to PB, as well as National Science Foundation grant CCF-0725370 to CL  ... 
doi:10.1007/s10618-008-0118-x fatcat:a35reqvchraejas2oyiit447eu

Jigsaw

Oliver A. Kennedy, Suman Nath
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
In Jigsaw, users define whatif style scenarios as parameterized probabilistic database queries and identify parameter values that achieve desired properties.  ...  Jigsaw uses a novel "fingerprinting" technique that efficiently identifies correlations between a query's output distribution for different parameter values.  ...  We demonstrate the use of fingerprints in the following cases: (1) We show how to use fingerprints to efficiently explore the large parameter space of an optimization query, based on a parameterized Monte  ... 
doi:10.1145/1989323.1989410 dblp:conf/sigmod/KennedyN11 fatcat:6y2d3an7mvao3h4ja245bgn34q

Camera-Based Piano Sheet Music Identification [article]

Daniel Yang, TJ Tsai
2020 arXiv   pre-print
This paper presents a method for large-scale retrieval of piano sheet music images. Our work differs from previous studies on sheet music retrieval in two ways.  ...  In experiments on IMSLP data, our proposed method achieves a mean reciprocal rank of 0.85 and an average runtime of 0.98 seconds per query.  ...  Nonetheless, it has been shown to be effective in aligning sheet music and MIDI, and we hypothesize that it may also be used effectively for large-scale retrieval.  ... 
arXiv:2007.14579v1 fatcat:wxzwdfen3rh7xfql5vgoflviem

Needle in a haystack: Cost-Effective data analytics for real-time cloud sharing

Yu Hua, Dan Feng
2014 2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)  
In order to support real-time processing and improve energy efficiency in the cloud, this paper proposes a novel cost-effective data analytics scheme, called Needle.  ...  Needle leverages a suitable division-of-labor model between core and edge network nodes to efficiently support content-aware queries in the cloud data center networks.  ...  THE NEEDLE DESIGN In large-scale data center networks, a suitable "division of labor" between the core and edge network nodes helps support the content distribution and retrieval in a scalable and efficient  ... 
doi:10.1109/iwqos.2014.6914316 dblp:conf/iwqos/HuaF14 fatcat:wtn3joxa6rag5gpln6fs4fmmgi

Intrusion Detection and Prevention in Cloud, Fog, and Internet of Things

Xuyun Zhang, Yuan Yuan, Zhili Zhou, Shancang Li, Lianyong Qi, Deepak Puthal
2019 Security and Communication Networks  
Internet of Things (IoT), cloud, and fog computing paradigms are as a whole provision a powerful large-scale computing infrastructure for many data and computation intensive applications.  ...  Hence, it can be seen that the IoT/fog/cloud computing infrastructures can support the whole lifecycle of large-scale applications where big data collection, transmission, storage, processing, and mining  ...  Acknowledgments We would also like to cordially thank all the reviewers who have participated in the review process of the articles submitted to this special issue and the special issue coordinators and  ... 
doi:10.1155/2019/4529757 fatcat:ehi3or2qtbdtzluyvgr5libxpe

A Weighted K-AP Query Method for RSSI Based Indoor Positioning [chapter]

Huan Huo, Xiufeng Liu, Jifeng Li, Huhu Yang, Dunlu Peng, Qingkui Chen
2016 Lecture Notes in Computer Science  
According to a large scale positioning experiments, WF-SKL algorithm proves its high accuracy and positioning speed comparing with KNN indoor positioning.  ...  WF-SKL utilizes LCS algorithm to find out the measurement between the nearest neighbors, and it proposes K-AP (P,Q) nearest neighbor queries between two sets based on Map-Reduce framework.  ...  library based on the correlations of RSSI. Furthermore, we introduce an AP fingerprint based WF-SKL algorithm, which adapts the KNN algorithm to a weighted K-AP query method.  ... 
doi:10.1007/978-3-319-46922-5_12 fatcat:uwhqbtncijfcthx33jqvdt2z3y

On-demand fingerprint selection for 802.11-based positioning systems

Thomas King, Thomas Haenselmann, Wolfgang Effelsberg
2008 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks  
In this paper, we present two on-demand fingerprint selection algorithms to avoid the cumbersome and time-consuming approach of manually copying all fingerprints.  ...  Fingerprinting is a popular technology for 802.11based positioning systems: Radio characteristics from different access points are measured at various positions and stored in a database.  ...  In [8] , the authors slightly touch the question how the fingerprint database can be distributed to a large set of mobile devices.  ... 
doi:10.1109/wowmom.2008.4594839 dblp:conf/wowmom/KingHE08 fatcat:lckwqmipy5efflch5nxdg4r4hu

A two-way street between AI research and media scholars

Rasa Bocyte, Philo Van Kemenade, Johan Oomen
2022 Zenodo  
With the rapid advance of Artificial Intelligence (AI), increased availability of digitised and born-digital sources from a wide range of collection owners, researchers can gain new perspectives on large-scale  ...  But what are the actual requirements that humanities scholars have for the use of such AI-based tooling?  ...  Additionally, to facilitate more generous access to this large-scale data for quantitative analysis, it provides Jupyter Notebooks in combination with the existing archive APIs that allow users to perform  ... 
doi:10.5281/zenodo.6532640 fatcat:ckfebnlxxzgh5egoex56wm25ti
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