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8th international conference on the theory and Practice of Natural computing, TPNC 2019

8th International Conference on the Theory and Practice of N...

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8th international conference on the theory and Practice of Natural computing, TPNC 2019

ISBN: (纸本)9783030344993

the proceedings contain 17 papers. the special focus in this conference is on theory and Practice of Natural computing. the topics include: Adaptive Task Allocation for Planar Construction Using Response threshold Model;deep Reinforcement Learning for Multi-satellite Collection Scheduling;evolution of Locomotion Gaits for Quadrupedal Robots and Reality Gap Characterization;non-abelian Gauge-Invariant Cellular Automata;on Post-processing the Results of Quantum Optimizers;quantum algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems;human-Inspired Socially-Aware Interfaces;stochastic Mechanisms of Growth and Branching in Mediterranean Coral Colonies;operation Insertion on the Conjugacy and Commutativity of Words;boolean Recombinase-Based Devices;card-Based Protocol Against Actively Revealing Card Attack;optimizing Convolutional Neural Networks for Embedded systems by Means of Neuroevolution;migration threshold Tuning in the Deterministic Dendritic Cell Algorithm;Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics;preface.

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Seventh international conference on Optical and Photonic Engineering, icOPEN 2019

Seventh International Conference on Optical and Photonic Eng...

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7th international conference on Optical and Photonic Engineering, icOPEN 2019

ISBN: (纸本)9781510631595

the proceedings contain 92 papers. the topics discussed include: parallel computing method for generating hologram of 3D objects using layer-based method;research of two-translation pick-and-place parallel mechanism;the optimization criteria for resolution improvement in a lens-free on-chip digital holographic microscope;phase-shifting ESPI micro-deformation testing algorithm and experimental research;improved multi-slice fourier ptychographic microscopy technique for high-accuracy three-dimensional tomography under oblique illuminations;fast correction method for the fringe order error in multi-frequency phase unwrapping algorithm;and Fourier ptychography: effectiveness of image classification.

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LoRa Based Water Quality Monitoring System in Symbiosis University’s Lavale Campus

LoRa Based Water Quality Monitoring System in Symbiosis Univ...

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international conference on computing, Engineering, and Design (ICCED)

作者： Utkarsh Alset Atul Kulkarni Hrishikesh Mehta Symbiosis Centre For Nanoscience and Nanotechnology Symbiosis International (Deemed) University Lavale Pune India Research And Development Aethertec Innovative Solutions Bavdhan Pune India

ISBN: (纸本)9781665439978

Emergence of Internet of things (IoT) has enabled convergence in various research areas like wearable electronics, wireless networks, sensors, control systems and embedded systems. Important application areas of healthcare and agriculture are largely benefited with IoT. Remote monitoring of water quality parameters is one such area where IoT can be largely deployed. A Long-range communication (LoRa) is a recent addition to IoT which covers large areas under its wireless network and has ultra-low power consumption. In this paper, a LoRa based monitoring system for measuring water quality parameters of a water reservoir in Symbiosis University’s Lavale Campus is implemented. A wireless floating LoRa transmitter is placed in the reservoir to hourly measure water quality parameters like water temperature, turbidity and pH. A study on effect of various configuration parameters of a LoRa device on time on air (ToA) and battery life is also presented.

关键词： Temperature measurement Symbiosis Wireless sensor networks Wireless networks Wearable computers Water quality Reservoirs

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An Extraction Model Based on RoBERTa-BiLSTM-CRF for Chinese Financial Event

An Extraction Model Based on RoBERTa-BiLSTM-CRF for Chinese ...

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IEEE international conference on Cloud computing and Intelligence systems (CCIS)

作者： Dagao Duan Wenwen Liu Zhongming Han School of International Economics and Management Beijing Technology and Business University Beijing China School of Computer Science and Engineering Beijing Technology and Business University Beijing China

ISBN: (纸本)9781665441506

Event Extraction is one of the important research tasks of Information Extraction in Natural Language Processing. It tries to extract information from a large amount of chaotic data and presents information in a structural form. the existing Chinese event extraction methods have the inaccuracies of Chinese word segmentation, which will directly lead to incorrect identification of Chinese financial entities, affecting the accuracy of event element extraction. this paper takes Chinese financial event extraction as a sequence labeling task. It proposes an event extraction model based on PreTraining Model, Bidirectional Long-Short Term Memory Network, and Conditional Random Field. Additionally, this paper constructs the Chinese financial event dataset FinEE. At the same time, financial events are filtered from public dataset DuEE to construct dataset DuEE_Fin. As the experimental results show that the proposed Chinese financial event extraction model Roberta-BilSTM-CRF has improved accuracy, recall rate, and F1 score compared with existing models on FinEE and DuEE_Fin datasets.

关键词： Cloud computing Computational modeling conferences Information retrieval Natural language processing Data mining Labeling

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7th international conference on Information Technology in Biomedicine, ITIB 2019

7th International Conference on Information Technology in Bi...

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7th international conference on Information Technology in Biomedicine, ITIB 2019

ISBN: (纸本)9783030237615

the proceedings contain 57 papers. the special focus in this conference is on Information Technology in Biomedicine. the topics include: Assessment of Muscle Fatigue, Strength and Muscle Activation During Exercises with the Usage of Robot Luna EMG, Among Patients with Multiple Sclerosis;information Models of Dynamics in Healthcare;effects of External Conditions to Chaotic Properties of Human Stability;a Preliminary Evaluation of Transferring the Approach Avoidance Task into Virtual Reality;convolutional Neural Networks in Speech Emotion Recognition – Time-Domain and Spectrogram-Based Approach;convolutional Neural Networks for Computer Aided Diagnosis of Interdental and Rustling Sigmatism;barley Defects Identification by Convolutional Neural Networks;wavelet Convolution Neural Network for Classification of Spiculated Findings in Mammograms;weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields;contextual Classification of Tumor Growth Patterns in Digital Histology Slides;a Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks;descriptive Seons: Measure of Brain Tissue Impairment;an Automatic Method of Chronic Wounds Segmentation in Multimodal Images;evaluation of Methods for Volume Estimation of Chronic Wounds;infrared and Visible Image Fusion Objective Evaluation Method;wavelet Imaging Features for Classification of First-Episode Schizophrenia;dynamic Occlusion Surface Estimation from 4D Multimodal Data;evaluation of Dental Implant Stability Using Radiovisiographic Characterization and Texture Analysis;patella – Atlas Based Segmentation;de-Identification of Electronic Health Records Data;cervical Histopathology Image Classification Using Ensembled Transfer Learning;correcting Polish Bigrams and Diacritical Marks;initial Motivation as a Factor Predicting the Progress of Learning Mathematics for the Blind;RAS in the Aspect of Symmetrization of Lower Limb Loads.

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Empirical formula for computing representative wave heights from zeroth moment of wave spectrum 7

Empirical formula for computing representative wave heights ...

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7th international conference on Asian and Pacific Coasts, APAC 2013

作者： Nuntakomol, P. Rattanapitikon, W. Sirindhorn International Institute of Technology Thammasat University Pathum Thani12121 Thailand

ISBN: (纸本)9789795301257

the present study focuses on conversion formulas for estimating four common statistical-based representative wave heights (i.e. mean wave height, root-mean-square wave height, average of the highest one-third wave height, and average of the highest one-tenth wave height) from zeroth moment of wave spectrum. the existing conversion formulas are usually derived from given probability density functions of wave heights. there seems to be no literature that proposes an empirical formula for estimating the representative wave heights from zeroth moment of wave spectrum. Hence, the objective of this study is to develop an empirical formula for computing the representative wave heights. Based on the existing conversion formulas, the representative wave heights are assumed to be proportional to square root of zeroth moment of wave spectrum. the influence of depth-limited wave breaking is empirically incorporated into the proportional coefficients. the empirical formula is calibrated and examined based on field experiments (13,456 wave records collected from 4 sources). Reasonable good agreements are obtained between the measured and computed representative wave heights. the applicability of five sets of existing conversion formulas is also examined. the present formula gives better estimation than those of existing conversion formulas. © APAC *** rights reserved.

关键词： Probability density function

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A Model for Relational to NoSQL database Migration: Snapshot-Live Stream Db Migration Model

A Model for Relational to NoSQL database Migration: Snapshot...

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international conference on Advanced computing and Communication systems (ICACCS)

作者： Basant Namdeo Ugrasen Suman International Institute of Professional Studies Devi Ahilya University Indore India School of Computer Science & IT Devi Ahilya University Indore India

ISBN: (纸本)9781665405218;9781665446341

Data migration is simply a process of transforming data from a source database to target database. Companies are moving their database from one database (e.g., RDBMS) to another new one (e.g., NoSQL) because of many reason such as new database can handle more data, that could be fast, scalable etc. there are various tools and methods such as, mongify [1], mongoimport [2], sqoop [3] etc. these are available for database migration from RDBMS to NoSQL databases. NoSQL uses document model, graph model, key-value etc., as compared to RDBMS databases. NoSQL was primarily designed for storing and retrieving a large amount of data. In this paper, we have proposed a database migration model, which can migrate real-time as well as old data in a parallel way. the proposed model is implemented for MySQL (RDBMS) to MongoDB document database in Java. the prototype migrates database instance at a particular time (Snapshot of database) as well as live data in a parallel way. Finally, our experimental evaluation of snapshot and live data migration shows the higher performance as compared to other methods.

关键词： Java Databases NoSQL databases Computational modeling Prototypes Relational databases Tools

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7th international Workshop on Assurance Cases for Software-Intensive systems, ASSURE 2019, 14th ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded and Cyber-Physical systems and systems-of-systems, DECSoS 2019, 8th international Workshop on Next Generation of System Assurance Approaches for Safety-Critical systems, SASSUR 2019, 2nd international Workshop on Safety, Security, and Privacy In Automotive systems, STRIVE 2019, 2nd international Workshop on Artificial Intelligence Safety Engineering, WAISE 2019 held in conjunction with 38th international conference on Computer Safety, Reliability and Security, SAFECOMP 2019

7th International Workshop on Assurance Cases for Software-I...

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7th international Workshop on Assurance Cases for Software-Intensive systems, ASSURE 2019, 14th ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded and Cyber-Physical systems and systems-of-systems, DECSoS 2019, 8th international Workshop on Next Generation of System Assurance Approaches for Safety-Critical systems, SASSUR 2019, 2nd international Workshop on Safety, Security, and Privacy In Automotive systems, STRIVE 2019, 2nd international Workshop on Artificial Intelligence Safety Engineering, WAISE 2019 held in conjunction with 38th international conference on Computer Safety, Reliability and Security, SAFECOMP 2019

ISBN: (纸本)9783030262495

the proceedings contain papers. the special focus in this conference is on . the topics include: A Safety Standard Approach for Fully Autonomous Vehicles;open Questions in Testing of Learned Computer Vision Functions for Automated Driving;adaptive Deployment of Safety Monitors for Autonomous systems;Uncertainty Wrappers for Data-Driven Models: Increase the Transparency of AI/ML-Based Models through Enrichment with Dependable Situation-Aware Uncertainty Estimates;modular Safety Cases for Product Lines Based on Assume-Guarantee Contracts;confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions;bayesian Uncertainty Quantification with Synthetic Data;a Self-certifiable Architecture for Critical systems Powered by Probabilistic Logic Artificial Intelligence;tackling Uncertainty in Safety Assurance for Machine Learning: Continuous Argument Engineering with Attributed Tests;the Moral Machine: Is It Moral?;comparative Evaluation of Security Fuzzing Approaches;assuring Compliance with Protection Profiles with threatGet;a Survey on the Applicability of Safety, Security and Privacy Standards in Developing Dependable systems;combined Approach for Safety and Security;towards Integrated Quantitative Security and Safety Risk Assessment;potential Use of Safety Analysis for Risk Assessments in Smart City Sensor Network Applications;preface;Combining GSN and STPA for Safety Arguments;increasing Safety of Neural Networks in Medical Devices;smart Wristband for Voting;automotive Cybersecurity Standards - Relation and Overview;a Runtime Safety Monitoring Approach for Adaptable Autonomous systems;structured Reasoning for Socio-Technical Factors of Safety-Security Assurance;the SISTER Approach for Verification and Validation: A Lightweight Process for Reusable Results;Demo: CANDY CREAM;combining Safety and Security in Autonomous Cars Using Blockchain Technologies.

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7th international Workshop on Formal Techniques for Safety-Critical systems, FTSCS 2019

7th International Workshop on Formal Techniques for Safety-C...

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7th international Workshop on Formal Techniques for Safety-Critical systems, FTSCS 2019

ISBN: (纸本)9783030469016

the proceedings contain 9 papers. the special focus in this conference is on Formal Techniques for Safety-Critical systems. the topics include: Verifying Resource Adequacy of Networked IMA systems at Concept Level;automated Ada Code Generation from Synchronous Dataflow Programs on Multicore: Approach and Industrial Study;POP: A Tuning Assistant for Mixed-Precision Floating-Point Computations;visualising Railway Safety Verification;probabilistic Activity Recognition for Serious Games with Applications in Medicine;A Framework for Model Checking Against CTLK Using Quantified Boolean Formulas;Formal Semantics Extraction from MIPS Instruction Manual.

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7th international Work-conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019

7th International Work-Conference on Bioinformatics and Biom...

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7th international Work-conference on Bioinformatics and Biomedical Engineering, IWBBIO 2019

ISBN: (纸本)9783030179342

the proceedings contain 96 papers. the special focus in this conference is on Bioinformatics and Biomedical Engineering. the topics include: Mathematical Modeling and Docking of Medicinal Plants and Synthetic Drugs to Determine their Effects on Abnormal Expression of Cholinesterase and Acetyl Cholinesterase Proteins in Alzheimer;definition of Organic Processes via Digital Monitoring systems;detection of Pools of Bacteria with Public Health Importance in Wastewater Effluent from a Municipality in South Africa Using Next Generation Sequencing and Metagenomics Analysis;Web-Based Application for Accurately Classifying Cancer Type from Microarray Gene Expression Data Using a Support Vector Machine (SVM) Learning Algorithm;associating Protein Domains with Biological Functions: A Tripartite Network Approach;Interaction of ZIKV NS5 and STAT2 Explored by Molecular Modeling, Docking, and Simulations Studies;entropy-Based Detection of Genetic Markers for Bacteria Genotyping;clustering of Klebsiella Strains Based on Variability in Sequencing Data;addition of Pathway-Based Information to Improve Predictions in Transcriptomics;concept Bag: A New Method for computing Concept Similarity in Biomedical Data;common Gene Regulatory Network for Anxiety Disorder Using Cytoscape: Detection and Analysis;insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics;HIV Drug Resistance Prediction with Categorical Kernel Functions;deciphering General Characteristics of Residues Constituting Allosteric Communication Paths;feature (Gene) Selection in Linear Homogeneous Cuts;DNA Sequence Alignment Method Based on Trilateration;convolutional Neural Networks for Red Blood Cell Trajectory Prediction in Simulation of Blood Flow;platform for Adaptive Knowledge Discovery and Decision Making Based on Big Genomics Data Analytics;low Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results.

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