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24th Pan-Hellenic Conference on Informatics, PCI 2020

作者： Vlachou, Akrivi Doulkeridis, Christos Koutroumanis, Nikolaos Poulopoulos, Dimitrios Nørvåg, Kjetil Dept.of Inf. and Com.Syst.Engineering University of Aegean Karlovasi Greece Dept. of Digital Systems University of Piraeus Piraeus Greece Dept. of Computer Science Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781450388979

This paper presents the research activities in the context of the SPADES project for scalable indexing and processing of big spatial and spatio-textual data. Management of spatio-textual data raises challenges due to the high dimensional nature of text, in combination with the problem of preserving data locality for spatial data. In this paper, we provide an overview of our contributions in this field, both for centralized and parallel processing. We present an indexing layer that supports spatio-textual data, as well as other data types: spatio-temporal, multidimensional as well as semantic data represented in RDF. This is coupled with a processing layer that encompasses algorithms both for centralized and parallel processing. © 2020 ACM.

关键词： Big data

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Prediction of Soil Wind Erodibility Using Rfe-Based Ensemble Modelling

SSRN

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SSRN 2022年

作者： Roy, Bishwajit Malviya, Lokesh Mal, Sandip Kumar, Amrendra Kumar, Radhikesh Jahed Armaghani, Danial Kumar, Deepak Banerjee, Avishek School of Computer Science UPES Uttarakhand Dehradun248007 India School of SCSE VIT MP Bhopal466114 India Dept.of CE RIT UK Roorkee247667 India Dept. of CSE NIT Bihar Patna800001 India Department of Urban Planning Engineering Networks and Systems Institute of Architecture and Construction South Ural State Universit 76 Lenin Pros ect Chelyabinsk454080 Russia Dept. of CE NIT Bihar Patna800001 India Department of CSBS Asansol Engineering College Asansol713305 India

Due to the intricate nature of erodibility, sensitivity of soil particles and limited amount of data, the consequent modelling of soil wind erodibility is a challenging task for researchers. Therefore, the robust prediction of soil wind erodibility along with the sensitive factors is often an indispensable task. This study analyses portable wind tunnel-based measured wind erosion rate (gm −2 s −1 ) from 118 sites in Kerman Province, southeast Iran where 17 different predictors were considered for each site. This paper investigates the importance of a set of predictors which are most affected by soil erosion rate. Furthermore, this study proposes a novel an optimum feature selection-based heterogeneous ensemble meta-estimator (voting ensemble (VE)) for predicting wind erosion rate. A linear regression-based recursive feature elimination technique with 2-fold cross validation is used to identify the 7significant important predictors, called i) VFS (very fine sand), ii) CS (coarse sand), iii) VCS (very coarse sand), iv) GC (gravel coverage), v) MWD (mean weight diameter), vi) surface crust, and vii) moisture, that affects the soil erodibility rate. Then, a VE with 3 unfitted estimators is proposed, which averages the predictions of singleton estimators to enhance the prediction accuracy. The 3 singleton unfitted estimators, called support vector machine (linear kernel), random forest and gradient boosting machine, are used with grid search approach. The investigation identifies the surface crust as the most effective parameter in predicting soil erosion rate. © 2022, The Authors. All rights reserved.

关键词： Soils

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Performance Evaluation of Spatial Data Management systems Using GeoSpark

Performance Evaluation of Spatial Data Management Systems Us...

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International Conference on Big Data and Smart Computing (BIGCOMP)

作者： Hansub Shin Kisung Lee Hyuk-Yoon Kwon Dept.of Industrial and Systems Engineering Seoul National University of Science and Technology Seoul Republic of Korea Division of Computer Science and Engineering Louisiana State University Louisiana Baton Rouge U.S.

ISBN: (数字)9781728160344

ISBN: (纸本)9781728160351

In this paper, We evaluate the performance of spatial data management systems in distributed computing environments. Given that GeoSpark outperforms other spatial systems in many scenarios as reported in several studies, we choose spatial data management systems using GeoSpark for this evaluation. Even though GeoSpark supports various storage engines as its underlying data store, the effects of the storage engines for spatial data processing have not been well studied. To address this limitation, we evaluate the performance of GeoSpark using two underlying data stores: 1) HDFS and 2) MongoDB. We first design and build distributed experimental environments based on Amazon EC2 and EMR using up to 10 nodes. Through the extensive experiments on three synthetic and real data sets, we show that the overall performance of both HDFS-and MongoDB-based GeoSpark improves as we increase the number of nodes. We also show that HDFS-based GeoSpark generally outperforms MongoDB-based GeoSpark, especially for large-scale data sets. In addition, we demonstrate that the proper use of caching on HDFS-based GeoSpark can improve the overall query processing performance by up to three orders of magnitude.

关键词： Spatial databases Indexes Distributed databases Data processing Connectors Performance evaluation

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Development and validation of video camera as sensor for structural health monitoring 7

Development and validation of video camera as sensor for str...

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7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018

作者： Wu, Z.Y. Peng, X. Pujol, S. Puranam, A. Christenson, R. Lobo-Aguilar, S. Applied Research Bentley Systems WatertownCT United States Dept. of Computer Science and Engineering University of Connecticut StorrsCT United States Dept.of Civil and Structural Engineering Purdue University West LafayetteIN United States University of Connecticut Dept of Civil and Environmental Engineering StorrsCT United States

ISBN: (纸本)9783000603594

Several vision-based structural health monitoring (SHM) approaches have been developed since early 1980s. With the advancement and wide availability of digital video cameras, compounded with the development and enhancement of image analysis methods, vision sensor as a new approach of using a video camera has become a viable alternative and/or complementary method to remotely capture the motions of the structure. This paper presents the methods of applying computer vision algorithms and the development of the software tool for extracting the displacements, strains, velocities and accelerations of the desired points or areas (templates) from video images, demonstrates the applications of the approach for monitoring a highway bridge, explains the challenges in developing robust and accurate vision sensor as an effective solution for SHM practice. © APWSHM 2018. All rights reserved.

关键词： Damage detection

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Exploiting Affordances in Monitoring a Smart Home

Exploiting Affordances in Monitoring a Smart Home

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IEEE Southeastcon

作者： D’Ante Barnes Kellik Simons Abram Miller A. Jacob Oludoyi Jayson Askew Albert Esterline Janelle Mason Dept.of Computer Science North Carolina A&T State Univ. Greensboro NC USA Dept. of Civil Architectural & Environmental Engineering North Carolina A&T State Univ. Greensboro NC USA Dept. Industrial & Systems Engineering North Carolina A&T State Univ. Greensboro NC USA

ISBN: (数字)9781728101378

ISBN: (纸本)9781728101385

The Internet of Things (IoT), where internet connections are extended to every-day objects, enables collaboration, monitoring, and remote control. An IoT can make a home smart at least in the sense that those in it can be monitored. The question arises of how much and what kind of data are needed to monitor a person as they move about a smart home. This paper focuses on affordances, manifest possibilities for action provided by the environment (e.g., the appearance of a doorknob). Our thesis is that, since the same things are affordances for the monitored and monitoring persons, a little data goes a long way in monitoring a subject's interaction with affordances. This paper describes a scaled-down model of a floor in a smart home equipped with only passive infrared (PIR) motion sensors where nevertheless the data allows high-level interpretation of the subject's activities on that floor.

关键词： Smart homes Monitoring Intelligent sensors Animals Green products Wireless fidelity

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Visually Comprehensible QR Codes via Embedding of Big Logos

Visually Comprehensible QR Codes via Embedding of Big Logos

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2016 IEEE International Conference on Signal and Image Processing

作者： Kuen-Tsair Lay Yi-Jing Chen Hsing-Chun Hsueh Stephen G.Karungaru Dept.of Electronic and Computer Engineering Taiwan Univ.of Science and Technology Dept.of Information Science and Intelligent Systems Tokushima University

In this paper, we tackle the problem of embedding logos into QR *** the ease of visual comprehension by human, it is preferred that the logo should be big, if possible.A logo-embedding scheme, which is referred to as module displacement, is *** module displacement, the data modules that are corrupted by the logo are moved to hide behind those modules that are not corrupted by the ***, the problem of decoding a logo-embedded QR code posted on a plane or a cylinder is *** both cases, the QR image as captured by a camera is ***, some operation needs to be performed to rectify the deformation.

关键词： QR codes big-logo embedding module displacement image rectification

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Online Machine Learning for Big Data Analytics by Cognitive Robots

Online Machine Learning for Big Data Analytics by Cognitive ...

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2016 IEEE International Conference of Online Analysis and Computing science(ICOACS 2016)

作者： Yingxu Wang FICIC FWIF Information Systems Lab Stanford University Laboratory for Computational Intelligence Denotational Mathematicsand Software Science Dept.of Electrical and Computer EngineeringSchulich School of Engineering and Hotchkiss Brain InstituteUniversity of Calgary

It is recognized that both sources of and solutions to the big data challenges are human collective *** are an abstract representation of the quantity of realistic entities and perceived *** data play an indispensable role not only in a wide range of engineering applications,but also in the cognitive mechanisms of both humans and cognitive robots such as sensation,quantification,qualification,estimation,memory,and *** keynote lecture presents online big data analytic theories by machine learning as well as knowledge extraction by cognitive ***,information,knowledge,and intelligence are the four hierarchical layers of cognitive objects in the brain and cognitive systems from the bottom *** is discovered by the author that,although the cognitive unit of data is bit,that of knowledge is bir,i.e.,a binary relation.A resent finding towards big data science is that big data systems in nature are a recursive ndimensional typed hyperstructure(RNDTHS).This topological property of big data reveals that the mathematical foundation of big data science is underpinned by big data algebra(BDA),which is a denotational mathematical structure for efficiently dealing with the inherited complexities and unprecedented challenges in big data *** leads to a coherent theory for big data modeling,analyses,mining,information elicitation,knowledge extraction,and intelligent generation for cognitive *** experiments demonstrate that cognitive robots may autonomously transform big data in vast linguistic databases(corpuses) into sophistic knowledge bases by cognitive machine learning.

关键词： Big data big data science denotational mathematics mathematical models recursively hierarchical hyperstructures big data algebra cogniitve machine learning formal concepts knowledge extraction knowledge generation cognitive informatics cognitive computing computational intelligence applications

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Latest Advances in Theories and Applications of Cognitive Robotics and Brain-Inspired systems

Latest Advances in Theories and Applications of Cognitive Ro...

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： YingXU Wang International Institute of Cognitive Informatics and Cognitive Computing(ICIC) Laboratory for Computational Intelligence Cognitive Systemsand Software Science Dept.of Electrical and Computer Engineering Schulich School of Engineering and Hotchkiss Brain Institute University of Calgary

In the new era of intelligence revolution beyond information and computing revolutions,a brain-like intelligent system is emerging known as cognitive robots.A cognitive robot is an autonomous system that is capable of perception,learning,and inference mimicking the cognitive mechanisms of the brain by computational *** robotics is a discipline that studies theories,mathematical means,implementations,and engineering applications of cognitive *** theoretical foundations of cognitive robotics are underpinned in brain science,cognitive science,abstract intelligence,knowledge science,intelligence science,cognitive linguistics,and denotational *** keynote lecture presents the latest advances in theories and applications of cognitive robotics and brain-inspired *** theoretical framework of cognitive robotics and its denotational mathematical means such as concept algebra,semantic algebra,behavioral process algebra,and inference algebra are *** challenges in cognitive robotics are formally studied on what the necessary and sufficient intelligent behaviors of cognitive robots are,and what distinguish the intelligent capabilities of cognitive robots from their imperative *** structural and functional models of cognitive robots are explored at the intelligent layers of imperative,autonomic,and cognitive *** progress in cognitive robotics has led to the development of cognitive systems,nextgeneration computers,and cognitive machine learning engines,as well as the growth of contemporary knowledge-based industries.

关键词： Cognitive robotics cognitive informatics cognitive computing abstract intelligence computational intelligence denotational mathematics concept algebra semantic algebra brain science neuroinformatics cognitive machine learning cognitive knowledge base artificial intelligence and cognitive systems

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Petri nets with resources for modeling primary healthcare systems

Petri nets with resources for modeling primary healthcare sy...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Cristian Mahulea Liliana Mahulea Juan-Manuel García-Soriano José-Manuel Colom Dept.of Computer Science and Systems Engineering University of Zaragoza Spain Servicio Aragonés de la Salud Zaragoza Spain Universidad de Zaragoza Zaragoza AragÃ³n ES

Petri net is a powerful formalism for modeling, analysis and design of discrete event systems. With a good capacity of representing synchronization and concurrency they are used in different field of applications. This paper presents a modeling methodology of the primary healthcare system based on Petri nets. A disease of a patient is diagnosed and cured by following a sequence of treatments and cares belonging to a medical protocol. We show that for almost all of the diseases, each medical protocol can be modeled by a state machine Petri net. When the protocol is applied, different resources may be needed. Here we consider only resources that are conservative and they can be modeled by places where the number of tokens in the place says the number of available instances of that resource. By applying the available results of the Petri nets, many properties of the healthcare system can be studied. In particular, the prediction of different indices can be estimated by using the formal model.

关键词： Protocols Pain Medical diagnostic imaging Electrocardiography Modeling Diseases

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Methodology for power-aware coherent receiver design

Methodology for power-aware coherent receiver design

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Signal Processing in Photonic Communications, SPPCom 2013

作者： Ahmad, Tauseef Ai, Yun Muralidharan, Pavithra Irukulapati, Naga V. Johannisson, Pontus Wymeersch, Henk Agrell, Erik Larsson-Edefors, Per Karlsson, Magnus Dept.of Computer Science and Engineering Chalmers University of Technology SE-412 96 Göteborg Sweden Dept. of Signals and Systems Chalmers University of Technology SE-412 96 Göteborg Sweden Photonics Laboratory Chalmers University of Technology SE-412 96 Göteborg Sweden

We describe a methodology to design and evaluate DSP hardware for a coherent receiver. Important parameters that can be assessed include DSP power consumption and chip area. © OSA 2013.

ISBN: (纸本)9781557529817

We describe a methodology to design and evaluate DSP hardware for a coherent receiver. Important parameters that can be assessed include DSP power consumption and chip area. © OSA 2013.

关键词： Power management

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