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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Proposal of a Computational Vision Model for the Pre-diagnosis of Anemia Based on the Image of the Ocular Conjunctiva 13th

Proposal of a Computational Vision Model for the Pre-diagnos...

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13th Computer Science Online Conference

作者： Ildefonso, Alejandro Ticona, Wilfredo Univ ESAN Lima Peru Univ Tecnol Peru Lima Peru

ISBN: (纸本)9783031705175;9783031705182

Anemia is a persistent public health problem in Peru, with significant repercussions on individual quality of life and socio-economic progress at the national level. Although the hemogram is considered the reference method for diagnosing anemia, its need for time and a laboratory setting to be performed can represent a considerable limitation, especially in remote or less developed areas. The aim of the present research is to implement a computer vision model for the pre-diagnosis of anemia from the image of the ocular conjunctiva. The applied methodology was based on 5 phases: obtaining dataset, preprocessing, modeling and classification, feature extraction and implementation of CNN architectures. Several models were run with the classifiers: SVM, RF, MLP, and RNN and feature extraction techniques: SIFT, SURF, ORB and HOG. The model with RF and HOG extractor obtained the highest accuracy with 79%. Finally, deep learning models were explored, adjusting parameters such as the number of neurons, epochs, and samples in each model. Although initially the custom model obtained the highest accuracy of 93.18%, the Inception-ResNet-v2 model, supported by existing studies, was finally chosen and demonstrated a robust accuracy of 90.69% and loss of 0.2788, which is better than the loss of 0.3563 obtained with the comparison model.

关键词： Computer Vision Anemia Machine Learning Predictive Accuracy Convolutional Neural Network Architectures Ocular Physiology Pre-diagnosis

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Methods of Parametric Modeling and Simulation Numerical Analysis of Rotor Dynamics in Active Magnetic Bearings on Example of the Turbocompressor

Methods of Parametric Modeling and Simulation Numerical Anal...

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International Scientific and Technical Conference on Integrated Computer Technologies in Mechanical Engineering - Synergetic Engineering (ICTM)

作者： Kuchma, Mykhailo Martynenko, Gennadii Natl Tech Univ Kharkiv Polytech Inst 2 Kyrpychova St UA-61002 Kharkiv Ukraine

ISBN: (纸本)9783031614149;9783031614156

The article includes the comparison of two methods of modeling and evaluating the dynamics of rotors in active magnetic bearings (AMBs). An analysis of the dynamics of the rotor of the turbocompressor of the gas-pumping unit is considered, taking into account AMBs which are used as systems for control of motion stability. Two different methods of modeling were used to simulate the rotor dynamics of the rotor-AMBs system: the first is solid modeling which takes into account the deformability of the hinged elements of the rotor and its effect on its natural frequencies and critical speeds and the second is mass modeling where all hinged elements are replaced by mass-inertial elements. Both approaches are based on the application of finite element methods. The work aims to identify the advantages and disadvantages of using different methods for modeling and calculating rotordynamics characteristics of rotors supported by AMBs. The identification is based on various static and dynamic analyses. The results of numerical experiments are presented in the form of calculations of critical speeds and modes of oscillation (precession). This makes it possible to judge the possibility of the resonance regimes of the system and prevent dangerous situations. Obtained results indicate the accuracy and adequacy of results generated using different methods. The results could be used to determine the applicability of certain approaches depending on the specific needs of an engineer or researcher.

关键词： Turbocompressor Rotor Dynamics Analysis Active Magnetic Bearing Package for General Technical Engineering Analysis

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Detection of Driver Drowsiness Using Artificial Intelligence and Machine Learning 13th

Detection of Driver Drowsiness Using Artificial Intelligence...

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13th Computer Science Online Conference

作者： Kasim, Jannathl Firdouse Mohamed Ameerudeen, Muhammad Shameer G. Al Zahra Coll Women Informat Technol Dept Muscat Oman Ponjesly Coll Engn Dept Comp Sci & Engn Nagercoil India

ISBN: (纸本)9783031705175;9783031705182

Drowsy driving can be caused by a variety of things, such as not getting enough sleep, long commutes, working shifts, and taking certain drugs. In addition, variables like drinking or using drugs and underlying medical illnesses like sleep disorders can make it worse when a person is driving while drowsy. It happens when a driver cannot retain complete focus and alertness while driving because of exhaustion or sleep deprivation. According to estimates, drowsy driving may contribute to up to 40% of traffic accidents, with potentially serious effects. It leads to the design of a system for real-time hardware and software solutions to detect and prevent drowsy driving to address this problem. On the hardware side, a camera is used to gather information regarding the conduct and physical condition of the driver. This considered things like camera distance, eyemovements, and facial expressions. Software algorithms are created to examine this data in real time and find patterns that point to drowsy driving. The system can take several steps to warn the driver and avoid an accident when it detects drowsy driving. These procedures include alarm sounding and warning message display. This could help to avoid an accident. The accuracy of the proposed system is 86.34% and the time taken for detecting the drowsiness is 70.67 s. The estimated overall speed is 14.29 frames per second.

关键词： drowsy driving camera distance eye movements facial expressions alarm sounds

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The Use of Blockchain for Identity and Access Management (IAM) in Multi-cloud 9th

The Use of Blockchain for Identity and Access Management (IA...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Moyo, Lenience du Toit, Jaco Univ Johannesburg Auckland Pk ZA-2006 Johannesburg South Africa

ISBN: (纸本)9789819733019;9789819733026

Multi-cloud systems use more than one cloud service provider (SP). A user's digital identity is required to access services from various Cloud SPs. The user's identity may be duplicated across multiple cloud instances, complicating identity management (IdM). Federated identity management (FIdM) is an arrangement that can be made between a group of SPs and an identity provider (IdP) to allow a user to use the same identification information to gain access to cloud SP in the group, by signing in to only one. The limitations of FIdM are that user data is centralised, hence there is a single point of failure;there is no guarantee that SPs and IdPs will not misuse user identity, there is limited scalability, and centralised systems can struggle to keep up with demand as they grow. In this paper, we propose a CloudBloc model that utilises a blockchain as a mechanism for FIdM in multi-cloud. When a user logs in to the Cloud SP, they are redirected to the blockchain frontend where they can log in to the blockchain using their public private key pair. The public key is stored in the blockchain, and the private key is securely stored in the user's wallet. The blockchain has smart contracts and user identity information. The smart contract is used to authenticate the user. Once a user has been authenticated, the smart contract generates a token. The user can then use the token to gain access to any Cloud SP in the group.

关键词： Authentication Authorisation Federated identity management Multi-cloud Blockchain

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The Role of Sensemaking of Risk and Relationship to Technology in the Internet Shopping Experience 4th

The Role of Sensemaking of Risk and Relationship to Technolo...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Hilali, Imen Gharbi, Jamel-Eddine Univ Jendouba VPNC Lab FSJEGJ Jendouba Tunisia Univ Manouba ESC Tunis Sch Business Manouba Tunisia Univ Jendouba Fac Law Econ & Business Adm Jendouba FSJEGJ Jendouba Tunisia

ISBN: (纸本)9783031686740;9783031686757

This study aims to understand the process of constructing meanings around risk and the relationship to technology and to interpret the impact of these meanings on consumers' online purchasing behavior. Using a phenomenological framework, we investigate the lived experiences of Tunisian consumers in the context of online shopping, and attempt to answer the following central question: "How do the sensemaking of risk and the relationship to technology shape the behavior of online consumers? Data were collected through twenty-three in-depth interviews with consumers. An abductive approach with thematic analysis was used as the method of analysis. The results show that consumers' online purchasing behavior is often conditioned by the set of meanings that these consumers mutually co-construct in a socio-cultural environment. This study contributes to the customer experience literature by helping managers understand the different behaviors of online shoppers and the factors that affect them. It may also be useful to companies looking to strengthen their digital marketing strategies by enabling them to examine the experiences and behaviors identified by study participants.

关键词： Sensemaking Risk Relationship To Technology Lived Experience Consumer Behavior

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Method for Statistical Evaluation of Nonlinear Model Parameters in Statistical Learning Algorithms 9th

Method for Statistical Evaluation of Nonlinear Model Paramet...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Tuhanskyk, Oleksandr Baran, Danylo Pysarchuk, Oleksii Natl Tech Univ Ukraine Igor Sikorsky Kyiv Polytech Inst Kyiv Ukraine

ISBN: (纸本)9789819735587;9789819735594

This paper proposes a method for determining the parameters of nonlinear models in statistical learning algorithms. The proposed solution allows to determine the parameters of a mathematical model with significant nonlinear components from statistical discrete data. Unlike classical approaches, the method allows to obtain the final analytical solution. This is achieved by using the method of differential transformations. As a result, we will have a statistically trained model with high predictive properties.

关键词： Data Science Intellectual data analysis Machine learning Statistical learning Digital twin CRM ERP Time series

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OralDentalSoft: Open-Source Web Application for Dental Office Management 12th

OralDentalSoft: Open-Source Web Application for Dental Offic...

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Burbano, Ricardo Estevez, Eduardo Llerena, Lucrecia Rodriguez, Nancy State Tech Univ Quevedo Fac Engn Sci Quevedo Ecuador

ISBN: (纸本)9783031602177;9783031602184

In Ecuador, numerous dental care facilities can be found, many of which are public. However, the organization of these centers has limitations. Recognizing the potential benefits that a specialized web application could offer to dental offices;we propose the development of such an application. We employ a case study approach as a research methodology to explore the development of an opensource web application in the field of dental health. The primary objective of this study is the creation of an open-source web application called "OralDentalSoft," designed to enhance the management of dental offices. We utilize the OSCRUM methodology for the development of this application to ensure efficiency and security. "OralDentalSoft" aims to improve the interaction between dental offices and their patients, providing a more efficient service. For this research, we conducted a systematic literature search. We highlight that, as of the date of this study, we have not found reports of open-source web applications specifically designed for dental offices. "OralDentalSoft" offers efficient record-keeping and control of information and activities related to dental health. User evaluation results indicate substantial improvements in information management and recording, optimization of the time spent on scheduling medical appointments easily and quickly, and more effective patient service. In conclusion, the web application developed using the methodology employed emerges as a beneficial tool for dental offices, enhancing the efficiency and effectiveness of their processes.

关键词： Web Application Dentist Dental Health Oral Health OSCRUM

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Command Line Interface Risk Modeling

Command Line Interface Risk Modeling

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Intelligent systems Conference (IntelliSys)

作者： Faulds, Anthony Microsoft Corp Redmond WA 98052 USA

ISBN: (纸本)9783031477201;9783031477218

Protecting sensitive data is an essential part of security in cloud computing. However, only specific privileged individuals are permitted access to view or interact with this data;therefore, it is unscalable to depend on these individuals also to maintain the software. A solution is to allow non-privileged individuals access to maintain these systems but mask sensitive information from egressing. To this end, we have created a machine-learning model to predict and redact fields with sensitive data. This work concentrates on Azure PowerShell as the conduit connecting to a secure cloud environment from outside. However, it shows how it can be applied to other command-line interfaces and APIs. Using the F5-score as a weighted metric, we demonstrate through empirical, quantitative measures that different transformation techniques map this problem from unstructured data to the well-researched area of natural language processing. These transformations are compared using different models to demonstrate the robustness of the techniques. These findings are generally helpful across administrators implementing security systems and can be used in various systems to reduce information leaving a defined boundary. Specifically, this research demonstrates a solution that allows systems to scale human code development and maintenance without oversight having to be scaled proportionally.

关键词： Command-line interface Sensitive information Secure Machine learning Bag of words Term frequency-inverse document frequency Word embedding

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The Impact of SMES Integration on the Power Grid: Current Topologies and Nonlinear Control Strategies 10th

The Impact of SMES Integration on the Power Grid: Current To...

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International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Khaleel, Mohamed Gulbudak, Ozan Ayed, Sadoon K. Mustafa, Mustafa A. S. Majdi, Hasan Shakir Habeeb, Laith Jaafer Elmnifi, Monaem Karabuk Univ Dept Elect Elect Engn Karabuk Turkiye Univ Albayan Coll Tech Engn Baghdad Iraq Al Rafidain Univ Coll Dept Refrigerat & Air Conditioning Engn Baghdad Iraq Al Mustaqbal Univ Coll Dept Chem Engn & Petr Ind Babylon 51001 Iraq Univ Technol Iraq Training & Workshop Ctr Baghdad Iraq Belgorod Tech Univ Dept Mech Engn Belgorod Russia Bright Star Univ Brega Libya

ISBN: (纸本)9783031662706;9783031662713

Superconducting magnetic energy Storage (SMES) has recently provided fast and effective relief on the power grid (PG). In addition to that, the power quality (PQ) issues affecting the PG continue to receive special attention. There is no doubt that the PQ issues are an important point concerning the effect on the power grid (PG) utility. In this context, this manuscript aims to demonstrate in-depth the configurations, characterization, and properties of SMES as a robust energy storage (ES) technology. The main objective of SMES can be achieved by delivering excellent performance to support the demand load. From this perspective, current topologies SMES-PG interconnection are developed to evaluate the effectiveness and performance-enhancing while supplying efficient energy using non-linear control strategy including sliding mode controller strategies, partial feedback linearization, control strategy, hysteresis controller strategy, robust controller strategy, and predictive controller strategy. To conclude, this manuscript investigates in detail to determine the applications of SMES-PG interconnection and future scope.

关键词： SMES Power Grid Power quality Current Topologies Nonlinear Control Strategies

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Movie Recommendation Using Collaborative Filtering Method and K-Nearest Neighbours: A Case Study on Netflix 13th

Movie Recommendation Using Collaborative Filtering Method an...

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13th Computer Science Online Conference

作者： Riyadi, Slamet Audita, Nia Abidin, Febriyanti Azahra Muhammadiyah Univ Yogyakarta Dept Informat Technol Kasihan Indonesia

ISBN: (纸本)9783031705175;9783031705182

Streaming platforms like Netflix have become very popular in today's digital age, but users often need help finding movies or TV shows that suit their preferences. The Collaborative Filtering method has been used in recommendation systems to look for patterns of similarity among users with similar preferences. However, this method has limitations in situations with little user data or quick changes in preferences. To overcome this problem, this study proposes using the Collaborative Filtering method with the K-Nearest Neighbors (K-NN) algorithm. This research aims to develop a better recommendation system on Netflix by providing more personalized and accurate recommendations. The K-NN method uses user similarities based on genre preferences to provide relevant recommendations. Hopefully, this recommendation system can enhance the user experience by providing appropriate recommendations even in situations with little user data or quick changes in preferences. By implementing the Collaborative Filtering method with the K-NN algorithm, this research hopes to provide more relevant and interesting recommendations, helping users find content that matches their interests more efficiently.

关键词： Netflix Movies Recommendation System Collaborative Filtering K-NN

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