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International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Volodymyr Savchenko Oksana Mnushka Oleg Sokulskyi Computer Engineering and Programming Department National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine Information Systems and Technologies Department National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kyiv Ukraine

ISBN: (数字)9798350378627

ISBN: (纸本)9798350378634

In this study, we present an improved approach to optimizing the parameters of sensor sensing elements using quartz resonators with an interelectrode gap. We combine graphical and analytical methods to solve the multi-criteria optimization problem. The work focuses on the modes of operation of a quartz resonator equipped with an interelectrode gap in sensors with a frequency output, determining a set of optimal parameters and representing them as surfaces in a particular optimization parameter space. The presented results reveal specific areas on the surface of the objective function where optimization of design and technological parameters is possible, taking into account technological influences and features of the sensor design, including the initial value of the interelectrode gap. By using an improved mathematical model for the oscillations of a quartz resonator with an electrode gap, this study achieves results with an accuracy of ($8 . . .11$)% higher than previous studies, demonstrating the effectiveness of the proposed method in improving the design and functionality of piezoelectric sensors for advanced applications.

关键词： Micromechanical devices Electrodes Accuracy Resonant frequency Linear programming Mathematical models Sensors

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The regularization of small sub-constraint satisfaction problems

arXiv

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arXiv 2019年

作者： Löffler, Sven Liu, Ke Hofstedt, Petra Brandenburg University of Technology Cottbus-Senftenberg Germany Department of Mathematics and Computer Science MINT Programming Languages and Compiler Construction Group Konrad-Wachsmann-Allee 5 Cottbus03044 Germany

This paper describes a new approach on optimization of constraint satisfaction problems (CSPs) by means of substituting sub-CSPs with locally consistent regular membership constraints. The purpose of this approach is to reduce the number of fails in the resolution process, to improve the inferences made during search by the constraint solver by strengthening constraint propagation, and to maintain the level of propagation while reducing the cost of propagating the constraints. Our experimental results show improvements in terms of the resolution speed compared to the original CSPs and a competitiveness to the recent tabulation approach [1,12]. Besides, our approach can be realized in a preprocessing step, and therefore wouldn't collide with redundancy constraints or parallel computing if implemented. Copyright © 2019, The Authors. All rights reserved.

关键词： Constraint satisfaction problems

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Creating a Dynamic Online Learning Environment with AI Integration

Creating a Dynamic Online Learning Environment with AI Integ...

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International computer Sciences and Information Technologies (CSIT)

作者： Oleksandra Bulgakova Zarina Viniarska Viacheslav Zosimov P.M Platonov Educational and Scientific Institute of Computer Engineering Automation Robotics and Computer Programming Odesa National University of Technology Odesa Ukraine Department of Applied information systems Taras Shevchenko National University of Kyiv Kyiv Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

Educational, online learning has become a common practice due to rapid digitalization and recent global events. This study focuses on developing a comprehensive online learning platform that addresses users' needs by integrating advanced AI capabilities for personalized support and adaptive learning. The platform supports user registration and authentication, course and lesson management, and offers interactive features like AI-driven chat support. In this study, we show the importance of creating user-friendly online learning platforms with the implementation of modern AI trends. The development and testing of this platform is ongoing to determine the adaptation of the system to different learning styles.

关键词： Adaptive learning Electronic learning Authentication Passwords Market research Real-time systems Artificial intelligence Information technology Standards Testing

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Performance Characterization of SPEC CPU2006 Benchmarks on Intel and AMD Platform

Performance Characterization of SPEC CPU2006 Benchmarks on I...

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International Workshop on Education Technology and computer Science, ETCS

作者： Shengmei Li Buqi Cheng Xingyu Gao Lin Qiao Zhizhong Tang Department of Computer Science and Technology Tsinghua University Beijing China Programming Systems Laboratory Intel China Research Center Limited Beijing China Chinese Academy and Sciences Beijing China

For understanding the performance differences caused by different computer architectures and optimization technologies, the paper characterizes performance of SPEC CPU2006 benchmarks both on Intel and AMD platform. Using the performance events collected by Performance Monitor Unit, we compare their performance differences and analyze the causes from the features of architectures and the optimization technologies. Our results and analysis help the programmers better understand the memory performance and branch prediction performance which are caused by architectures and guide them in the optimization. The analysis also help the processor architects better balance among the key architecture factors such as memory disambiguation and hardware prefetch when doing architecture design decision.

关键词： Microarchitecture Decoding Educational technology Paper technology programming profession Performance analysis computer science computer architecture Hardware Prefetching

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Intuitionistic Fuzzy Dombi Hybrid Decision-Making Method and Their Applications to Enterprise Financial Performance Evaluation

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Mathematical Problems in Engineering 2021年 2021卷

作者： Jana, Chiranjibe Muhiuddin, G. Pal, Madhumangal Al-Kadi, D. Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India Department of Mathematics University of Tabuk Tabuk71491 Saudi Arabia Department of Mathematics and Statistic College of Science Taif University P.O. Box 11099 Taif21944 Saudi Arabia

In the era of the knowledge-based economy, the active branch of information technology plays a crucial role. The enterprise administration covers efficient changes, and it has been entered in the age of reasonable management argument. The standard enterprise financial review evaluation centers on the importance of bondholders. The investor takes operational data as an issue and pays surveillance to the study of material attraction and the result. Otherwise, it is not intelligent to adjust in a modern marketplace period. Therefore, enterprise financial directing the interests of shareholders and business policies that are taking into account stakeholders' needs is continually investigated in the future lively competition. In that view, accumulating data is an essential research tool to draw the researchers' recent attention during the knowledge investigation. In this research, multiple attribute decision-making (MADM) approach has been proposed for the enterprise financial performance evaluation. To this view, financial performance evaluation has been done with intuitionistic fuzzy arguments. We apply new Dombi hybrid operators such as the intuitionistic fuzzy Dombi hybrid average (IFDHWA) operator and intuitionistic fuzzy Dombi hybrid geometric (IFDHWG) operator. These operators have a good advantage of adaptability in the working parameter. Finally, a realistic instance for enterprise financial performance is reported following comment on the benefit or utility of the recommended output. © 2021 Chiranjibe Jana et al.

关键词： Competition

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The Effects of Algorithm Visualizations with Storylines on Retention: An Experimental Study

The Effects of Algorithm Visualizations with Storylines on R...

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IEEE Symposium on Visual Languages and Human Centric Computing (VL/HCC)

作者： C.D. Hundhausen R. Patterson J. Lee Brown S. Farley Visualization and End User Programming Laboratory College of Electrical Engineering and Computer Science Washington State University Pullman WA USA Department of Psychology Washington State University Pullman WA USA

Algorithm visualizations graphically illustrate how algorithms work. In prior ethnographic studies of a computer science course in which students were required to construct and present their own algorithm visualizations, we observed that visualizations based on storylines tended to stimulate increased audience interest and involvement. This observation, coupled with the empirical research that substantiates the value of stories as mnemonic devices, raises an interesting research question: Do visualizations with storylines actually help students remember the procedural behavior of an algorithm better than visualizations that do not involve storylines? To investigate this question, we conducted an experimental study that compared the memorability of algorithm descriptions involving differing degrees of spatial and verbal embellishment. The study failed to detect significant differences. We reflect on our lack of significant results, and suggest two alternative paths for future research into the value of story-based algorithm visualization

关键词： Visualization computer science Laboratories Testing programming profession Educational institutions Psychology Motion pictures Feedback Algorithm design and analysis

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The Modified Picture Fuzzy Weighted Geometric Operator for Decisionmaking Processes and its Applications to Ambient Air Pollution

SSRN

引用

SSRN 2023年

作者： Jaikumar, R.V. Raman, Sundareswaran Pal, Madhumangal Department of Mathematics St. Joseph’s Institute of Technology OMR Chennai India Department of Mathematics Sri Sivasubramaniya Nadar College of Engineering Chennai India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore India

The aggregation operator is a popular tool for dealing with multi-criteria decision-making (MCDM) problems. An MCDM technique based on the modified picture fuzzy weighted geometric operator (MPFWGO) is proposed in this article. First, the drawbacks of various existing picture fuzzyweighted geometric aggregation operators (PFWGOs) that lead to imprecise outcomes in some exceptional instances are investigated. Second, an MPFWGO is proposed to address the shortcomings of existing PFWGOs. Furthermore, the suggested MPFWGO's properties such as idempotency, boundedness, monotonicity, and commutativity are explored. Numerical examples demonstrate that our proposed operator and corresponding MCDM approach are efficient and reasonable enough to prevent ambiguous results in exceptional instances. Finally, we applied the proposed method to rank the World Health Organization (WHO) regions for air pollution control. © 2023, The Authors. All rights reserved.

关键词： Decision making

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Application of IoT in the study of biogas release parameters

Application of IoT in the study of biogas release parameters

引用

International Scientific Conference Electronics (ET)

作者： Neven K. Nikolov Anelia I. Tzanova Kiril A. Koparanov Elena V. Antonova Daniela V. Minkovska Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria Department of Chemistry Faculty of Electronic Engineering and Technologies Technical University of Sofia 8 Kliment Ohridski blvd. Sofia Bulgaria

This paper describes the development of an IoT device prototype for measuring biogas release parameters. Through the device, measurements are made, and statistics are accumulated based on which calculations are perfor... 详细信息

ISBN: (数字)9798350376449

ISBN: (纸本)9798350376456

关键词： Performance evaluation Heating systems Prototypes Production Sensor phenomena and characterization Biogas Sensor systems Internet of Things Information technology Monitoring

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Quantifying the necrotic areas on liver tissues using support vector machine (SVM) algorithm and Gabor filters

Quantifying the necrotic areas on liver tissues using suppor...

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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)

作者： Turgut Özseven Metin Ertürkler Mustafa Nurmuhammed Mehmet Gül Murat Harputluoğlu Department of Computer Programming Turhal Vocational School Gaziosmanpaşa University Tokat Turkey Department of Computer Engineering Engineerinig Faculty İnönü University Malatya Turkey Department of Histology and Embryology Faculty of Medicine İnönü University Malatya Turkey Department of Internal Diseases Faculty of Medicine İnönü University Malatya Turkey

Liver is a vital organ of a body that has numerous functions. Severe malfunctioning of these functions causes a liver necrosis. The diagnosis of this necrosis is performed by a specialist who uses appropriate microscopic analysis. However, because this analysis is based on specialist's opinion, the results could be subjective and error prone. The aim of this study is to quantify the hepatic necrotic areas using computer aided algorithms and provide quantitative results that are not prone to errors.

关键词： Gabor filters Liver Support vector machines Feature extraction Training Design automation Educational institutions

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Unmanned vehicle-aided automated meter reading

Unmanned vehicle-aided automated meter reading

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International Conference on Broadband and Biomedical Communications (IB2Com)

作者： Gurkan Tuna V. Cagri Gungor Kayhan Gulez Department of Computer Programming Trakya University Edirne Turkey Faculty of Engineering Department of Computer Engineering Bahçeşehir University Istanbul Turkey Faculty of Engineering Bahçegehir University Istanbul Turkey Electrical-Electronics Eng. Faculty Yildiz Technical University Istanbul Turkey

This paper presents a novel approach of using unmanned vehicles for Automated Meter Reading (AMR) applications in rural areas where there are a few consumers scattered around a wide area. The proposed system does not require a fixed network infrastructure to transfer data to a central database, since data collection is carried out by unmanned vehicles. Compared to traditional meter reading systems, the use of unmanned vehicles for AMR brings several advantages, such as low cost operation, flexibility, and online system management. However, the realization of these potential gains directly depends on reliable communication capabilities of the deployed system and successful navigation of unmanned vehicles. Overall, in this paper, the design principles and challenges of using unmanned vehicles for AMR applications in rural areas have been presented. Also, the communication architecture of the proposed system has been explained and comparative simulation studies have been performed in terms of energy efficiency and navigation accuracy.

关键词： Vehicles Navigation Wireless sensor networks Simultaneous localization and mapping Accuracy Wireless communication

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