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Aspect Level Songs Rating Based Upon Reviews in English

computers, Materials & Continua 2023年第2期74卷 2589-2605页

作者： Muhammad Aasim Qureshi Muhammad Asif Saira Anwar Umar Shaukat Atta-ur-Rahman Muhammad Adnan Khan Amir Mosavi Department of Computer Science Bahria University Lahore54000Pakistan Lahore Institute of Science and Technology Lahore 54792Pakistan Department of Multidisciplinary Engineering Texas A&M UniversityCollege Station77843USA Department of Computer Science College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal University(IAU)P.O.Box 1982Dammam 31441Saudi Arabia Department of Software Gachon UniversitySeongnam13120Korea John von Neumann Faculty of Informatics Obuda UniversityBudapest1034Hungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaBratislava81107Slovakia Faculty of Civil Engineering TU-DresdenDresden01062Germany

With the advancements in internet facilities,people are more inclined towards the use of online *** service providers shelve their items for *** users post their feedbacks,reviews,ratings,*** the use of the *** enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these *** Analysis(SA)is a technique that performs such decision *** research targets the ranking and rating through sentiment analysis of these reviews,on different *** a case study,Songs are opted to design and test the decision *** aspects of songs namely music,lyrics,song,voice and video are *** the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a *** machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are *** performed the best with 74.99%*** are validated using K-Fold.

关键词： Machine learning natural language processing songs reviews:sentiment analysis songs rating aspect level sentiment analysis reviews analysis text classification music

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Reversing BLE Remote Control Protocols of Dual Channel LED Lamps with CCT and Illumination Control

Reversing BLE Remote Control Protocols of Dual Channel LED L...

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2023 International Conference Automatics and Informatics, ICAI 2023

作者： Kandilarov, Rostislav Yordanov, Yordan University of Ruse 'Angel Kanchev' Faculty of Transport Department of Machine Science Machine Elements Engineering Graphics and Physics Ruse Bulgaria University of Ruse 'Angel Kanchev' Computer Systems and Technologies Faculty of Electrical Engeneering Electronics and Automation Ruse Bulgaria

ISBN: (纸本)9798350312911

In this paper various BLE protocols for communication between remote or Android applications and intelligent dual channel (cool and warm white) LED lamps were reverse engineered. Three protocols were fully decoded and several partially. Replay attack is tested and confirmed working. Demo C++ library was developed and a proof-of-concept firmware for esp32 based development board was used to verify the decoding and the attacks applicability. © 2023 IEEE.

关键词： Light emitting diodes

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Residual and Attention Mechanism-Based Network for Aluminum-Silicon Alloy Microstructure Image Classification 11

Residual and Attention Mechanism-Based Network for Aluminum-...

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11th International Conference on Information Systems and Computing Technology, ISCTech 2023

作者： Yang, Xiao Shen, Tao Yin, Jiancheng Liu, Yingli Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming650093 China Kunming University of Science and Technology Yunnan Key Laboratory of Computer Technologies Application Kunming650500 China Kunming University of Science and Technology Faculty of Materials Science and Engineering Kunming650093 China

ISBN: (纸本)9798350342406

To enhance the accuracy of aluminum-silicon alloy microstructure image classification, we propose an aluminum-silicon alloy microstructure image classification model based on an improved residual network, incorporating attention mechanisms and multi-scale thinking. The model is built upon the ResNet18 architecture, utilizing enhanced basic residual blocks to select informative features. Additionally, a multi-scale attention module is incorporated into the network to fuse multi-scale features and further extract effective features. Experimental results on an aluminum-silicon alloy microstructure image classification dataset demonstrate that compared to the best-performing model currently available, the proposed model achieves an increase in classification accuracy, precision, recall, and F1 score by 3.17%, 0.74%, 5.53%, and 3.26%, respectively, reaching 94.97%, 96.39%, 93.97%, and 95.17%. These results indicate that the proposed model exhibits strong capabilities in classifying aluminum-silicon alloy microstructure images and can facilitate further research on the properties of aluminum-silicon alloys. © 2023 IEEE.

关键词： Image classification

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Optimal Structure Exploration of Bayesian Network Based on Dealing with the Route Choice Model 6

Optimal Structure Exploration of Bayesian Network Based on D...

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6th International Conference on computer Information Science and Application Technology, CISAT 2023

作者： Wang, Ziyi Zeng, Yufei Wang, Rui College of Big Data and Intelligent Engineering Southwest Forestry University Kunming China College of Computer Science and Technology Harbin Institute of Technology Yichun China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China

ISBN: (纸本)9781510668546

Route selection in residents' travel is a key link in travel decision-making in transportation systems. In existing studies, discrete choice models are often used to describe residents' travel path choices. However， with today's highly developed big data, the traditional discrete choice model is too simple to represent residents' travel path choices, ignoring the connection between various factors. Therefore, a big data-driven approach is proposed to solve this problem in this paper. Driven by research data and with the introduction of the Bayesian network model, the paper adopts a hill-climbing search strategy to improve the search efficiency, uses a variety of scoring functions to train data, which optimizes the Bayesian network structure. The experimental results show that the model fully considers the causation between the independent variables, which is more logical and makes the construction of the resident travel route selection model more accurate and efficient. © 2023 SPIE.

关键词： Bayesian networks

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Development of a Software Complex for Energy Facilities Based on an Embedded Linux System

Development of a Software Complex for Energy Facilities Base...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Georgii S. Osyko Stanislav V. Ponomarev Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia Faculty of Radio Engineering and Electronics Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Supervisory Control and Data Acquisition is the main and currently remains the most promising method of automated control of complex dynamic systems. In this article the development of a software package installed on embedded Linux-based systems for managing and monitoring energy facilities is discussed. The main part of the article consists of 3 sections. The first section describes the structural diagrams of the entire software package. The UML diagrams of individual software modules designed for processing and transferring data to other devices are presented. The second section describes the structure and appearance of the web interface, describes possible scenarios for user interaction with the interface. At the end, the results of testing performed using a specially created test bench are presented. The entire software base of the developed complex was implemented by the authors of this article. The developed software package has unique characteristics in terms of functionality in conditions of limited resources, and therefore is fully suitable for managing energy facilities based on embedded systems.

关键词： Performance evaluation Substations Protocols Software packages Switchgear Linux Unified modeling language

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On the Use of Quality Flags for Digital Transformers in the Sampled Values Protocol IEC 61850

On the Use of Quality Flags for Digital Transformers in the ...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Igor V. Plotnikov Stanislav V. Ponomarev Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia Faculty of Radio Engineering and Electronics Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

This work is devoted to a detailed description of the quality flags of the Sampled Values protocol of the IEC 61850 standard for digital current and voltage transformers. The relevance of this article is due to the fact that the quality flags are not strictly and in detail described in the standard itself, therefore, manufacturers of equipment for digital current and voltage transformers fill in the quality flags if there are problems with data or device at their own discretion. The first part provides information on the structure of interaction between elements of a digital measuring system, describes the advantages of using quality flags in digital data transmission protocols relative to traditional transformers. In the second part, special attention is paid to the interpretation of quality flags in the IEC 61850 standard and the lack of a clear formulation of their applicability in real devices. The third part offers new interpretation of these quality flags with an example of use based on the developed measuring system. At the end of the article, evidence of the correct operation of the described quality flags is provided using a test bench and equipment for analyzing the Sampled Values protocol.

关键词： Protocols Voltage transformers Current measurement Ethernet Transformers IEC Standards Electron devices

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Exploiting hybrid features extracted from color spaces of dermoscopic images 28

Exploiting hybrid features extracted from color spaces of de...

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28th IEEE International Conference on Emerging Technologies and Factory automation, ETFA 2023

作者： Moldovanu, Simona Miron, Mihaela Culea-Florescu, Anisia Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Computer Science and Information Technology 47 Domneasca Street 800008 Galaţi800008 Romania Dunarea de Jos University of Galati Faculty of Automation Computers Electrical Engineering and Electronics Department of Electronics and Telecommunications 47 Domneasca Street 800008 Galaţi800008 Romania

ISBN: (纸本)9798350339918

In the context of detecting dangerous illnesses of the patient affected by skin lesions, this study is focused on the problem of improving the classification of melanoma vs. normal nevus considering neural network and new proposed features based on high and low pixels intensity, and densities of the pattern detected with hit-or-miss (HoM) morphological transform. A large set of features from color spaces such as RGB (red, green, and blue), HSV (hue, saturation, and value) and L∗a∗b∗ (lightness variable L∗, chromaticity indices a∗ and b∗) were initially extracted and grouped in two parts: the first group includes first and second order features, and the second group contains hybrid features (a mix of first order, second order features and proposed features). The dimensionality of the features from these two groups is considerably reduced with principal component analysis (PCA) statistical method and fed three different types of neural network (NN): Radial Basis Function Neural Network (RBFNN), Cascade-Forward Neural Network (CFNN) and Pattern Recognition Neural Network (PRNN). From this corroboration of hybrid features, color space and NN, the L∗a∗b∗ color space with CFNN provided accuracy (ACC) of 0.897, F1-score of 0.91 and area under the ROC curve (AUC) of 0.896, respectively. © 2023 IEEE.

关键词： Color

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Assessment of Sagittal Alignment Of Cervical Spine In seated individuals on Stable And Unstable Base

Assessment of Sagittal Alignment Of Cervical Spine In seated...

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2023 IEEE International Workshop on Technologies for Defense and Security, TechDefense 2023

作者： Filkova, Silviya Markov, Miroslav Markova, Valentina Medical University-Varna Training Sector 'Rehabilitator' Medical College Varna Bulgaria Varna Bulgaria Technical University of Varna Faculty of Computer Sciences and Automation Department of Communication Engineering and Technologies Varna Bulgaria

ISBN: (纸本)9798350319392

Office workers frequently maintain prolonged static postures and engage in extended computer or desk work, both of which can significantly contribute to back pain. This extended sitting places elevated stress on the musculoskeletal structures of the back, including the back, neck, arms, and legs, and subjects the spinal muscles and discs to significant pressure. The measurement of the craniovertebral angle (CVA) is one of the most used methods to assess head posture. In this research, we investigate the sagittal alignment of the cervical spine in individuals who spend extended periods working with computers under two conditions: while seated on a stable base and while seated on an unstable base. © 2023 IEEE.

关键词： Musculoskeletal system

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On Security And Privacy In Smart Metering Systems 7

On Security And Privacy In Smart Metering Systems

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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Bacnar, David Leytner, Lolita Prenc, Rene Jardas, Veljko Lerga, Jonatan University of Rijeka Faculty of Engineering Department of Computer Engineering Rijeka Croatia University of Rijeka Faculty of Engineering Department of Electric Power Systems Rijeka Croatia University of Angers Polytech Angers/Automation and Computer Engineering Department Angers France Jatro D.o.o. Rijeka Croatia

ISBN: (纸本)9789532901160

Smart meters are modernizing the electrical energy systems, solving numerous problems of the classical systems, and introducing new functionalities to the grid. This paper aims to give an insight into these systems in terms of their security and privacy aspects. Special attention is paid to the energy theft problem (meter tampering, physical anti-tampering measures, and theft detection methods). We, next, address other security issues present in remote metering (attack types, risks, and threats to the system). Also, necessary security requirements and signature-based, anomaly-based, and specification-based Intrusion Detection Systems (IDS) are defined. We conclude by listing privacy concerns arising due to the remote meters and advanced metering infrastructures (AMI) being installed more and more. © 2022 University of Split, FESB.

关键词： Advanced metering infrastructures

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Reliability and Overload Capacity of Power Transformers

Reliability and Overload Capacity of Power Transformers

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2023 International Conference on Clean Electrical Power, ICCEP 2023

作者： Gracheva, Elena Ivanovna Petrova, Renata Maratovna Sinyukova, Tatiana Valtchev, Stanimir Miceli, Rosario Caruso, Massimo Kazan State Power Engineering University Departm. of Power Supply of Industrial Enterprises Kazan Russia Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia University Nova of Lisbon Faculty Fct and Uninova -CTS Portugal University of Palermo Department of Engineering Italy

ISBN: (纸本)9798350348378

The article describes the reliability of transformers, the failure rate and uptime to the first failure, the durability and maintainability of transformers and their service life, the allowable temperature rises and the dependence of steady-state overheating on the load factor of the transformer. An assessment of the effect of ambient temperature on the rated power of the transformer is shown. Dependences of heating on the changing load of transformers are given. The heating time constant is calculated depending on the power and cooling system of the transformer. The winding heating temperature is considered for real daily load schedules of a 33/11 kV transformer, the maximum actual overheats are compared when loaded with full power with allowable overheats. These studies can be used in transformers 33/11 kV and others with subsequent interpolation of values. © 2023 IEEE.

关键词： Failure rate

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