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Algorithms and Technology for Using a Hardware Complex for Diagnosing Defects in Construction Piles

Algorithms and Technology for Using a Hardware Complex for D...

引用

2022 International Conference on Smart Information systems and Technologies, SIST 2022

作者： Snitsar, Liliya L.N. Gumilyov Eurasian National University Dept. Of 'Computer And Software Engineering' Nur-Sultan Kazakhstan

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

In this paper, theoretical and experimental studies were carried out on the diagnostics of building structures, namely, piles using the pile diagnostics device (PDS-MG4). The task of the study is to determine the dept. of pile driving and identify defects in piles to localize them. A technical problem and a methodology for solving the problem are formulated based on engineering and technical methods for interpreting the data of the device used. A technique for solving one-dimensional inverse problems for the propagation equations of acoustic and seismic waves is presented. © 2022 IEEE.

关键词： Piles

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model 3

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： Elshabrawy, Mahmoud Eid, Marwa M. Abdelhamid, Abdelaziz A. El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed Delta Higher Institute of Engineering and Technology Dept. of Communications & Electronics Mansoura Egypt Delta University for Science and Technology Faculty of Artificial Intelligence Mansoura35111 Egypt Ain Shams University Faculty of Computer and Information Sciences Dep. of Computer Science Cairo Egypt University Mansoura Faculty of Engineering Computer Engineering and Control Systems Dept. Egypt

ISBN: (纸本)9798350323511

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models. © 2023 IEEE.

关键词： Ant colony optimization

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Optimization of Processing Power by Improving the Performance of Application Service 23

Optimization of Processing Power by Improving the Performanc...

引用

23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022

作者： Tileubergenov, Nurken Romanchikova, Svetlana N. Zhumadillayeva, Ainur K. L.N. Gumilyov Eurasian National University Dept. of 'Computer and Software Engineering' Nur-Sultan Kazakhstan

ISBN: (纸本)9781665498043

This article discusses the problems of optimizing computing power by improving the performance of web applications. The shared responsibility model for the Azure cloud is considered and the area of responsibility of the user and the provider of cloud services for such models as IaaS, PaaS and SaaS is shown. The article discusses methods for optimizing loops and provides the results of performance tests in Microsoft Visual Studio using Performance Profiler and C# language. Methods for optimizing such constructs as algebraic expressions are described and ways to increase performance from caching are considered. Optimization methods are described when using the String type. The article also looks at how boxing/unboxing objects of reference and value types improve application performance. The practical steps given in the article are aimed at writing safe and efficient code. Please, note that the tests and optimization designs carried out and described in the article will help to write code that will not cause poor application performance in the future. These steps will help to avoid buying software to detect optimization problems and, accordingly, significantly reduce material costs for the entire project as a whole. © 2022 IEEE.

关键词： Computing power

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EvoSL: A Large Open-Source Corpus of Changes in Simulink Models & Projects 26

EvoSL: A Large Open-Source Corpus of Changes in Simulink Mod...

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26th ACM/IEEE International Conference on Model Driven engineering Languages and systems, MODELS 2023

作者： Shrestha, Sohil Lal Boll, Alexander Chowdhury, Shafiul Azam Kehrer, Timo Csallner, Christoph University of Texas at Arlington Computer Science & Eng. Dept. ArlingtonTX76019 United States University of Bern Software Engineering Group Bern3012 Switzerland

ISBN: (纸本)9798350324808

Having readily available corpora is crucial for performing replication, reproduction, extension, and verification studies of existing research tools and techniques. MAT-LAB/Simulink is a de-facto standard tool in several safety-critical industries for system modeling and analysis, compiling models to code, and deploying code to embedded hardware. There is no commonly used corpus for large-scale model change studies because there is no readily available corpus. EvoSL is the first large corpus of Simulink projects that includes model and project changes and allows redistribution. EvoSL is available under a permissive open-source license and contains its collection and analysis tools. Using a subset of EvoSL, we replicated a case study of model changes on a single closed-source industrial project. © 2023 IEEE.

关键词： Simulink

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Dataset Construction and Classification Based on Pre-trained Models for Opinion Holder Detection 12

Dataset Construction and Classification Based on Pre-trained...

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12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

作者： Al-Mahmud, Al Shimada, Kazutaka Kyushu Institute of Technology Dept. of Computer Science and Systems Engineering Fukuoka850-8502 Japan

ISBN: (数字)9781665497558

ISBN: (纸本)9781665497558

Nowadays, it is getting increased in the massive amount of internet users. People express subjective thinking (i.e., opinion) implicitly and explicitly on online platforms such as Facebook, Twitter, Amazon product reviews, etc. Opinion holders are the people or entities who express opinions implicitly and explicitly on the online platform. With the increasing trends of online opinion mass information, it is impossible to detect them manually. For this reason, an automatic approach for opinion holder detection is essential. Opinion holder detection is useful to detect specific person's/entity's concerns about a particular topic, product, or problem. Opinion holder detection consists of two steps: the presence of opinion holders in text and identification of opinion holders. In this paper, we focus on the first step, namely the presence of opinion holders in text. We handle this task as a binary classification problem: INSIDE or OUTSIDE. At first, we prepare a new English dataset for this task. Then, we apply two types of pre-trained models, BERT and DistilBERT, to the INSIDE/OUTSIDE classification task. BERT is a transformer-based pre-trained language model. DistilBERT is a small, fast, cheap, and light model based on knowledge distillation from the BERT architecture. As to the binary classification task, we employ a logistic regression model on the top layer of the pre-trained models. We compare the language models employed in our experiment in terms of the F1 score and accuracy. The experimental result shows that DistilBERT obtained superior performance among the models: 0.901 on the F1 score and 0.924 on the accuracy. © 2022 IEEE.

关键词： Distillation

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Design and Implementation of 2-DOF Arm Manipulator Robot as Robotic Kinematic Learning Platform 6

Design and Implementation of 2-DOF Arm Manipulator Robot as ...

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6th International Conference on Vocational Education and Electrical engineering, ICVEE 2023

作者： Widayaka, Parama Diptya Puspitaningayu, Pradini Alamsyah, Sayyidul Aulia Muktiadji, Rifqi Firmansyah Widodo, Arif Abdillah, Rifqi Universitas Negeri Surabaya Dept. of Electrical Engineering Surabaya Indonesia King Abdulaziz University Dept. of Electrical and Computer Engineering Jeddah Saudi Arabia Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayamas Japan Institut Teknologi Sepuluh Nopember Surabaya Dept. of Informatics Surabaya Indonesia

ISBN: (纸本)9798350326642

Technological developments have impacts and challenges in human life. Technological advances have made human life easier. The impact of technological developments is the industrial manufacturing process getting faster with the help of robotics technology. Robots can shorten manufacturing process time and efficient. On the other hand, challenges with technological developments force us to keep learning and adaptive to every changes around us, especially in the education sector. In education sector, formal educational institutions or campuses must be able to facilitate students to be able to learn comprehensively in the field of technology, especially robotics, where we can make an innovative learning platform based on robotics technology. In this study, we discussed a 2-DOF arm manipulator robot as kinematics learning platform of industrial robot to increase student competencies in preparation for facing the industrial environment in century. Inverse kinematics equation has been applied in the robot by providing input coordinates on the x-Axis and y-Axis where the accuracy value on the x-Axis is 77% and the accuracy on the y-Axis is 83.1%. © 2023 IEEE.

关键词： Machine design

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Explainable Multiclass Blood Cell Classification: Combining Custom CNNs with SHAP

Explainable Multiclass Blood Cell Classification: Combining ...

引用

International Conference on Electrical, computer and Communication engineering (ECCE)

作者： Md. Ismiel Hossen Abir Shantanu Dey Anik Hasibul Islam Peyal Dept. of Computer Science & Engineering International Standard University Dhaka Bangladesh Dept. of Software Engineering Daffodil International University Birulia Savar Dhaka Bangladesh Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Blood cell classification is a crucial task in medical diagnostics. This work can identify different blood cell types that play essential roles in the immune system and overall body function. This research introduces a custom Convolutional Neural Network (CNN) model with SHAP for explainable multiclass classification of blood cell images. We classify eight types of blood cells—basophil, eosinophil, erythroblast, immunoglobulin (Ig), lymphocyte, monocyte, neutrophil, and platelet. An ablation study was conducted to optimize the CNN architecture. We compared its performance with eleven transfer learning models, including VGG16, ResNet101, and EfficientNet variants. Our model achieved 92.60% accuracy while maintaining lower complexity. The use of SHAP provides transparency by highlighting crucial features in the model’s decision-making process.

关键词： Training Accuracy Microprocessors Transfer learning Lymphocytes computer architecture Convolutional neural networks Medical diagnosis Blood Testing

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Aqua Safe: Blockchain Based Maritime Communication System using Ad hoc Network 13

Aqua Safe: Blockchain Based Maritime Communication System us...

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13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022

作者： Lokuliyana, Shashika Wellalage, Sasini Warusavithana, Lahiru Pathirana, Madusha Kodithuwakku, Sanjula Munasinghe, Thamali Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (数字)9781665452625

ISBN: (纸本)9781665452625

The lack of a pre-existing infrastructure for facilitating long-range connectivity with the land makes maritime communications extremely difficult. Satellite connections, which are expensive, and use much power, are generally used to communicate on the high seas. For better connectivity between fisheries and land stations, different functional methods such as whether detection, boundary detection, data security, barrier detection, and data communication without interruption have been implemented in the system. Implementing a LoRa WAN system is to inform about emergencies in the deep sea and send the information indicated above. IoT node-based Ad hoc network is used to communicate with the land station without an internet connection. In case of emergency or when the fisheries need to send data and information to the land station in real-time, the fishing boat can interact with the land station through this proposed system. Blockchain technology is used in the system to ensure secure communication of information. In this scenario, the blockchain technology has enabled it to deploy distributed networks and perform secure peer-to-peer transmission and data integrity without a third party accessing the network. © 2022 IEEE.

关键词： Blockchain

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Blockchain and Artificial Intelligence Feasibility, Implementation and Sustainability in Supply Chain 8

Blockchain and Artificial Intelligence Feasibility, Implemen...

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8th International Conference on Advanced Computing and Communication systems, ICACCS 2022

作者： Moorthy, Srihari Balakrishanan, S. Nithish, K. Rahfar Nisha, R. Rohith, M.R.C. Sri Krishna College of Engineering and Technology Dept. of Computer Science and Business Systems Coimbatore India

ISBN: (纸本)9781665408165

This paper aims to study the current deficits in the supply chain and logistics industry and how cutting-edge technologies will be able to solve the problems. Ideas such as blockchains are being used for integrity & immutability during logistic operations and to use Artificial intelligence to maximize the efficiency of the supply chain operations. Using pre-existing data and research papers we will determine the feasibility and sustainability of using these technologies in the supply chain and logistics industry. This paper will also discuss about the Blockchain and machine learning models and difficulties in implementing these technologies in the supply chain and logistic industry. © 2022 IEEE.

关键词： Supply chains

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Current Vector Control of AC Servo Motor Considering Output Delay of PWM Inverter

Current Vector Control of AC Servo Motor Considering Output ...

引用

18th IEEE International Conference on Advanced Motion Control, AMC 2024

作者： Shimamoto, Haruta Yoshioka, Takashi Urushihara, Shiro National Institute of Technology Kagawa College Advanced Course in Industrial and Systems Engineering Takamatsu Japan National Institute of Technology Kagawa College Dept. of Electrical and Computer Engineering Takamatsu Japan

ISBN: (纸本)9798350342819

In this paper, to expand a control bandwidth of AC servo motor, a new current vector control considering an output delay of PWM Inverter is proposed. The proposed current control is a I-P control with an additional feedback gain, which is based on an extended state feedback consisted from a d-q motor model, the output delay of PWM inverter and an integrator of ACR. In addition, the proposed method is easy to implement to the existing AC servo system. The effectiveness of proposed method is validated in a computer simulation and an experiments using a 3.7 kW class motor test bench. In the condition that a cut-off frequency of ACR is close to a carrier frequency, the simulation results show that the proposed method dramatically improves the current response at the higher cut-off frequency. Moreover, the experimental results show that the proposed method dramatically improves the current response at each operating point. From the results, the proposed method is effective to the expand the bandwidth of AC servo motor. © 2024 IEEE.

关键词： Electric current control

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