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Colored ICP: Advancing 2D to 3D Shape Registration for Enhanced Accuracy and Visualization 23

Colored ICP: Advancing 2D to 3D Shape Registration for Enhan...

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proceedings of the 7th international conference on algorithms, computing and systems

作者： Alexandros Vrochidis Stelios Krinidis Dimitrios Tzovaras Information Technologies Institute Center for Research and Technology Hellas Greece and Department of Management Science & Technology International Hellenic University Greece Information Technologies Institute Center for Research and Technology Hellas Greece

ISBN: (纸本)9798400709098

Robust and accurate registration is a fundamental capability for numerous computer vision and robotics applications. this paper proposes a novel colored 2D to 3D registration method that exploits keypoints from Scale-Invariant Feature Transform (SIFT) and Intrinsic Shape Signatures (ISS). the proposed method works on multiple models without utilizing a neural network or requiring a training dataset. After detecting keypoints and their colors in the L*a*b* color space, a modified Iterative Closest Point (ICP) algorithm is utilized to find the correspondences between the image and 3D model points and the transformation matrix. Additionally, there is an experimental evaluation using publicly available colored models for 3D-3D and 2D-3D registration to show that color information can increase accuracy in both tasks. On 3D-3D registration, the use of color information decreased Relative Root Mean Square Error (RRMSE) by 85.69% when the k-d tree was used and 92.63% when color was utilized in combination with the geometric information. For the 2D-3D registration, the mean distance decreased by 25.52% for the k-d tree and 28.76% for the weighted colored ICP, proving that color can efficiently enhance accuracy in this task.

关键词： Colored 2D to 3D Registration Colored ICP Point Cloud Registration Shape Alignment

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international conference on Innovations in Cyber Physical systems, ICICPS 2020

International Conference on Innovations in Cyber Physical Sy...

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international conference on Innovations in Cyber Physical systems, ICICPS 2020

ISBN: (纸本)9789811641480

the proceedings contain 73 papers. the special focus in this conference is on Innovations in Cyber Physical systems. the topics include: Design of Smart Mirror;smart Villages: Application of Internet-of-things in the Development of Rural India;online Resale Bike Price Prediction in Indian Market;COVID-Based Edge-Drone Application Approach;challenges and Future Directions for Privacy Dashboard Design of Electronic Health systems;A Novel Approach for Morphological Analysis and Inflections Based on POS Tagging;forecasting Cryptocurrency Time Series Using Adaboost-Based Ensemble Learning Techniques;a Fingerprint Recognition System Using Raspberry Pi;Impact of Underlap/Overlap of Germanium Source Dopingless Tunnel Field Effect Transistor (Ge-S-DLTFET);Conventional and Fuzzy Proportional Integral (PI) Speed Controller of Induction Motor Drive;meddoc Drive;weather Monitoring System Using IoT;optimal Bayesian Estimation Framework for Reduction of Speckle Noise from Breast Ultrasound Images;morphological Transformation in Color Space-Based Edge Detection of Skin Lesion Images;a Review on 6th Generation Wireless Communication Networks Based on Artificial Intelligence;background Object Removal and Image Inpainting to Fill Irregular Holes;exploration of Crime Detection Using Deep Learning;smart Web Investigation Framework;detection of Driver Distraction Using Convolutional Neural Network;NDN Content Poisoning Attack Mitigation Using Fuzzy-Reputation Based Trust;privacy Protection of Biometric Templates Using Deep Learning;PID Controller Design for Continuous Stirred Tank Reactor (CSTR) Temperature Control;SPSS Analysis and Performance Evaluation of Health Clubs;a Comprehensive Effectual Load-Balancing Method in Cloud computing;code Smell Refactoring for Energy Optimization of Android Apps;four-Factor Authentication with Emerging Cybersecurity for Mobile Transactions;Resume Data Extraction Using NLP.

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Self-stabilizing systems in Spite of High Dynamics 21

Self-stabilizing Systems in Spite of High Dynamics

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22nd international conference on Distributed computing and Networking (ICDCN)

作者： Altisen, Karine Devismes, Stephane Durand, Anais Johnen, Colette Petit, Franck Univ Grenoble Alpes VERIMAG Grenoble France Univ Clermont Auvergne LIMOS Clermont Ferrand France Univ Bordeaux LaBRI Bordeaux France Sorbonne Univ LIP6 Paris France

ISBN: (纸本)9781450389334

We initiate research on self-stabilization in highly dynamic identified message passing systems where dynamics is modeled using time-varying graphs (TVGs). More precisely, we address the self-stabilizing leader election problem in three wide classes of TVGs: the class TCB (Delta) of TVGs with temporal diameter bounded by Delta, the class TCQ (Delta) of TVGs with temporal diameter quasi-bounded by A, and the class TCR of TVGs with recurrent connectivity only, where TCB (Delta) subset of TCQ (Delta) subset of TCR. We first study conditions under which our problem can be solved. We introduce the notion of size-ambiguity to show that the assumption on the knowledge of the number n of processes is central. Our results reveal that, despite the existence of unique process identifiers, any deterministic self-stabilizing leader election algorithm working in the class TCQ (Delta) or TCR cannot be size-ambiguous, justifying why our solutions for those classes assume the exact knowledge of n. We then present three self-stabilizing leader election algorithms for Classes TCB (Delta), TCQ (Delta), and TCR, respectively. Our algorithm for TCB (Delta) stabilizes in at most 3 Delta rounds. In TCQ (Delta) and TCR, stabilization time cannot be bounded, except for trivial specifications. However, we show that our solutions are speculative in the sense that their stabilization time in TCB (Delta) is O(Delta) rounds.

关键词： self-stabilization time-varying graphs leader election speculation

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Modeling and Simulation of 6 DOF Robotic Arm Based on Gazebo 6

Modeling and Simulation of 6 DOF Robotic Arm Based on Gazebo

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6th international conference on Control, Automation and Robotics (ICCAR)

作者： Huang, Zexin Li, Fenglei Xu, Lin Nankai Univ Inst Robot & Automat Informat Syst Tianjin 300350 Peoples R China

ISBN: (数字)9781728161396

ISBN: (纸本)9781728161396

this paper proposes a method for robotic arms in realistic physical environment based on Gazebo. Parallel-Axis theorem is used to estimate the links' moment of inertia. Controllers of the joints and the path planning algorithm are the important parts of the system. ROS is chosen to organize task architecture considering its easier hardware abstraction. the simulation system is able to analysis and compare robotic arm's responses under different algorithms and different target pose. When several targets given at the same time, the system can analysis which is optimal concerning the path's length and velocity's change smoothness.

关键词： robotic arm simulation gazebo joint position controller

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Emerging Design Patterns for Blockchain Applications 15

Emerging Design Patterns for Blockchain Applications

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15th international conference on Software Technologies (ICSOFT)

作者： Rajasekar, Vijay Sondhi, Shiv Saad, Sherif Mohammed, Shady Univ Windsor Sch Comp Sci Windsor ON Canada Ahram Canadian Univ Fac Comp Sci & IT Second 6Th Of October Egypt

ISBN: (纸本)9789897584435

Blockchain or Distributed Ledger Technology (DLT) introduces a new computing paradigm that is viewed by experts as a disruptive and revolutionary technology. While bitcoin is the most well-known successful application of blockchain technology, many other applications and sectors could successfully utilize the power of blockchain. the potential applications of blockchain beyond finance and banking encouraged many organizations to integrate and adopt blockchain into existing or new software systems. Integrating and using any new computing paradigm is expected to affect the best practice and design principles of building software systems. this paper summarizes our ongoing research on collecting, categorizing and understanding, existing software design patterns when building blockchain-based software systems. It collects and categorizes the existing software (design and architectural) patterns that are commonly linked to blockchain and distributed ledger technology. We provide an informal analysis of the identified patterns to highlight their maturity. Finally, we discuss the current research gap in software engineering for blockchain-based applications and propose potential research directions.

关键词： Software Engineering Software Patterns Empirical Analysis Anti-patterns Blockchain

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2019 IEEE 6th international conference on Energy Smart systems (2019 IEEE ESS)

2019 IEEE 6th International Conference on Energy Smart Syste...

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IEEE international conference on Energy Smart systems (ESS)

the following topics are dealt with: optimisation; power markets; smart power grids; power engineering computing; power grids; statistical analysis; power consumption; power generation control; voltage control; power ...

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Revolutionizing Intensive Care: A Machine Learning Based Approach for ICU Patients' In-Hospital Mortality Prediction

Revolutionizing Intensive Care: A Machine Learning Based App...

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international conference on Electrical Engineering and Information & Communication Technology (ICEEICT)

作者： Golam Ali G. M. Abdullah Al-Kafi Jannateen Tajree Faiza Md Iztahadul Hoque Sayma Alam Suha Department of CSE Bangladesh Army International University of Science and Technology Cumilla Bangladesh Department of CSE American International University-Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (数字)9798350385779

ISBN: (纸本)9798350385786

Early prediction of in-hospital mortality in Intensive Care Unit (ICU) patients is crucial for optimizing resource allocation, informing prognosis discussions, and guiding treat-ment decisions. While conventional systems exist, they often lack precision and struggle to handle complex, multidimensional data with limited resource availability. this study investigates the potential use of machine learning (ML) techniques to enhance in-hospital mortality prediction in ICU patients with heart failure (HF). An ML-based approach has been proposed in this study utilizing electronic health records of ICU patients containing demographic, physiological, laboratory, and medication data. the significance of the features in the dataset has also been evaluated through a voting ensemble technique aggregating the results from multiple feature selection techniques. Various ML classification algorithms are trained, tested and compared to identify the model with the best predictive performance both with reduced feature set and all the features from the dataset. the model's generalizability and efficacy is evaluated through multiple performance parameters as well as error analysis. the Random Forest Classification model significantly outperforms other models attaining 96.8% accuracy & 0.032 Mean Absolute Error in predicting in-hospital mortality, achieving a higher area under the receiver operating characteristic curve (AUROC). Feature importance analysis here also reveals the most dominant 27 crucial attributes influencing mortality risk for this dataset, providing valuable insights for clinical decision-making. thus, this study can lead to more efficient resource utilization, personalized treatment strategies, and ultimately, improved patient outcomes particularly for ICU patients.

关键词： Analytical models Receivers Predictive models Rendering (computer graphics) Physiology Research initiatives Resource management

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ENSURING thE SMOOth OPERATION OF PHYSICAL TECHNOLOGY COMPANIES IN DISTRIBUTED ENVIRONMENTS 22

ENSURING THE SMOOTH OPERATION OF PHYSICAL TECHNOLOGY COMPANI...

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proceedings of the 6th international conference on Future Networks & Distributed systems

作者： Olim Tashtemirovich Astanakulov Gulnora Kalandarovna Abdurakhmanova Muhammad Eid Balbaa Sanjar Bakhodirovich Goyipnazarov Department of Finance and Business Analytics International Islamic Academy of Uzbekistan Uzbekistan Faculty of Economics Tashkent State University of Economics Uzbekistan

ISBN: (纸本)9781450399050

Abstract: In scientific research, the development of FinTech Innovations is often associated with an increase in the level of financial inclusion of households. A common problem with traditional financial intermediaries and financial systems in general is that certain categories of individuals, for various reasons, do not have access to financial services or can only use a limited list of them. An example of financial exclusivity in this case is the inability of a person to obtain a loan on acceptable terms. Financial inclusion involves the inclusion of an individual in the system of financial relations with access to a wide range of financial services. the system of financial relations of households covers both internal financial relations formed in the household itself between its members and in relation to the management of personal finances of a person, and external ones, including financial relations of the household with the state, enterprises, financial institutions, and other households. the problems of financial inclusion are the subject of research by both individual scientists and various international institutions and organizations, including the World Bank, the international Monetary Fund, the Alliance for Financial Inclusion, and the Global Partnership for Financial inclusion). In addition, statistics on financial inclusion are collected and analyzed by international organizations such as the Organization for Economic Cooperation and development, the Basel Committee on Banking Supervision, the Financial Stability Board, and others.

关键词： smooth operation physical technology development distributed environments

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Efficient exact computation of setwise minimax regret for interactive preference elicitation 20

Efficient exact computation of setwise minimax regret for in...

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20th international conference on Autonomous Agents and Multiagent systems, AAMAS 2021

作者： Toffano, Federico Viappiani, Paolo Wilson, Nic Insight Centre for Data Analytics School of Computer Science and IT University College Cork Ireland UMR7606 CNRS LIP6 Sorbonne Université 4 pl. Jussieu Paris75005 France

ISBN: (纸本)9781713832621

A key issue in artificial intelligence methods for interactive preference elicitation is choosing at each stage an appropriate query to the user, in order to find a near-optimal solution as quickly as possible. A theoretically attractive method is to choose a query that minimises max setwise regret (which corresponds to the worst case loss response in terms of value of information). We focus here on the situation in which the choices are represented explicitly in a database, and with a model of user utility as a weighted sum of the criteria;in this case when the user makes a choice, an agent learns a linear constraint on the unknown vector of weights. We develop an algorithmic method for computing minimax setwise regret for this form of preference model, by making use of a SAT solver with cardinality constraints to prune the search space, and computing max setwise regret using an extreme points method. Our experimental results demonstrate the feasibility of the approach and the very substantial speed up over the state of the art. © 2021 international Foundation for Autonomous Agents and Multiagent systems (***). All rights reserved.

关键词： Multi agent systems

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5th international conference on Emerging Research in computing, Information, Communication and Applications, ERCICA 2018

5th International Conference on Emerging Research in Computi...

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5th international conference on Emerging Research in computing, Information, Communication and Applications, ERCICA 2018

ISBN: (纸本)9789811359521

the proceedings contain 56 papers. the special focus in this conference is on Emerging Research in computing, Information, Communication and Applications. the topics include: IoT-Enabled Medicine Bottle;revamp Perception of Bitcoin Using Cognizant Merkle;A Novel Algorithm for DNA Sequence Compression;digiPen: An Intelligent Pen Using Accelerometer for Character Recognition;Design of FPGA-Based Radar and Beam Controller;effect of Lattice Topologies and Distance Measurements in Self-Organizing Map for Better Classification;evaluation and Classification of Road Accidents Using Machine Learning Techniques;Multi-language Handwritten Recognition in DWT Accuracy Analysis;a Novel H-∞ Filter Based Indicator for Health Monitoring of Components in a Smart Grid;developing Ontology for Smart Irrigation of Vineyards;a Survey on Intelligent Transportation System Using Internet of things;CRUST: A C/C++ to Rust Transpiler Using a “Nano-parser Methodology” to Avoid C/C++ Safety Issues in Legacy Code;species Environmental Niche Distribution Modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ Using Machine Learning;organizational Digital Footprint for Traceability, Provenance Approach;bidirectional Long Short-Term Memory for Automatic English to Kannada Back-Transliteration;a Dominant Point-Based Algorithm for Finding Multiple Longest Common Subsequences in Comparative Genomics;fast and Accurate Fingerprint Recognition in Principal Component Subspace;smart Meter Analysis Using Big Data Techniques;movie Recommendation System;a Semiautomated Question Paper Builder Using Long Short-Term Memory Neural Networks;an Intensive Review of Data Replication algorithms for Cloud systems;time-Critical Transmission Protocols in Wireless Sensor Networks: A Survey;impact of Shuffler Design Pattern on Software Quality;privacy-Preserving Lightweight Image Encryption in Mobile Cloud;cyclic Scheduling Algorithm.

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