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1st International Conference in Advanced Innovation on Smart City, ICAISC 2023

作者： Sharma, Ashish Shukla, Prafullit Gourisaria, Mahendra Kumar Sharma, Bhisham Dhaou, Imed Ben GLA University Department of Computer Engineering & Applications UP Mathura India KIIT Deemed to Be University School of Computer Engineering Odisha Bhubaneswar India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Dar Al-Hekma University Hekma School of Engineering Computing and Informatics Department of Computer Science Jeddah Saudi Arabia

ISBN: (纸本)9781665472753

With the increase in the Telecom industry, service providers are more attentive toward the action of becoming larger or more extensive to the subscriber base. For surviving in telecom companies, the continued possession of holding customers must be a big challenge. According to consideration in the telecom environment, the market price of obtaining the new purchaser is more than holding the existing purchaser. Through collecting knowledge from the telecom industry to analyze the association of the customer whether will leave or not the company. Such types of the Decision tree and Logistic regression model have been compared on the 3334 instances of the dataset. The classification model derived from logistic regression has an accuracy of 80% and the decision tree classifier with an accuracy of 97%. © 2023 IEEE.

关键词： Decision trees

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Human Judgment Simulation and KDD Techniques in Automotive Platform Benchmark Selection 20

Human Judgment Simulation and KDD Techniques in Automotive P...

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20th IEEE Jubilee International Symposium on Intelligent Systems and informatics, SISY 2022

作者： Saghari, Asad Hosseinimehr, Masoud Rahmani, Shima Budinska, Ivana Institute of Informatics Slovak Academy of Sciences Bratislava Slovakia Sharif University of Technology Department of Mechanical Engineering Tehran Iran University of Tehran Faculty of New Science and Technology Tehran Iran

ISBN: (纸本)9781665489881

A robust-reliable decision-making approach to selecting benchmark platforms for developing an automotive family is addressed in this study. The main research activities include selecting the appropriate decision-making method, simulating possible scenarios to determine the relative importance of attributes based on experts and stakeholders, determining the decision space, valuing attributes based on databases, using knowledge discovery in databases (KDD) techniques, and performing statistical analysis and sensitivity assessments. This hybrid approach led to the reliable selection of five benchmark platforms with the highest level of desirability in terms of defined attributes and the highest level of robustness to uncertainties in the expert judgments and stakeholders' expectation levels. © 2022 IEEE.

关键词： Uncertainty analysis

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Dynamic Channel Allocation via Bandit Learning for WiFi 7 Networks with Multi-Link Operation

Dynamic Channel Allocation via Bandit Learning for WiFi 7 Ne...

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IEEE Conference on Wireless Communications and Networking

作者： Shumin Lian Jingwen Tong Liqun Fu School of Informatics Xiamen University Xiamen China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The upcoming IEEE 802.11be standard, termed WiFi 7, introduces multi-link operation (MLO), enabling devices to establish multiple simultaneous connections utilizing different frequencies and channels. While MLO has the potential to boost network throughput, optimizing channel allocation in WiFi 7 networks introduces many challenges. In this paper, we propose a best-arm identification-enabled Monte Carlo tree search (BAI-MCTS) algorithm for efficient channel allocation in WiFi 7 networks. Specifically, we first employ an efficient mechanism to calculate the network throughput by capturing the essential features of the CSMA protocol. We then formulate this channel allocation problem as a multi-armed bandit (MAB) problem. However, solving this MAB problem induces high sample complexity due to the large-arm space. To overcome this challenge, we introduce BAI-MCTS by combining the BAI and MCTS techniques. Notably, BAI-MCTS has a fast convergence rate and low sample complexity. Simulation results demonstrate that the proposed algorithm outperforms the baseline algorithms in terms of the convergence rate, which is about 42.40% faster than the UCT algorithm when reaching 95% of the optimal value.

关键词： Protocols Monte Carlo methods Heuristic algorithms Simulation Channel allocation Throughput Dynamic scheduling Multiaccess communication Wireless fidelity Convergence

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Improving SVM Performance in Determining Cost and Kernel Parameter Values Through Grid Search

Improving SVM Performance in Determining Cost and Kernel Par...

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technology Innovation and Its Applications (ICTIIA), International Conference on

作者： Visca Sylvia Maya Silvi Lydia Benny Benyamin Nasution Master of Informatics Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Computer Engineering and Informatics Politeknik Negeri Medan Medan Indonesia

ISBN: (数字)9798350351613

ISBN: (纸本)9798350351620

The purpose of this study is to improve the performance of Support Vector Machine (SVM) algorithm in sentiment analysis of trainee reviews through parameter optimization using Grid Search. Trainee reviews were taken from the Vocational and Productivity Training Center (BBPVP) Medan, which is the context of this study. The method used includes collection and preprocessing of review data, followed by the application of SVM for sentiment analysis. Grid Search is used to optimize the cost and kernel parameters of SVM. The results show that after optimization, the resulting SVM model shows significant performance improvement compared to the model before optimization. Accuracy increased from 68.75% to 71.96%, with improvements in other metrics such as precision, recall, and F1 score. These findings suggest that Grid Search is an effective method to optimize SVM parameters in sentiment analysis, providing a more accurate evaluation of the effectiveness of training programs at BBPVP Medan. This research makes an important contribution by applying hyperparameter optimization to SVM and suggests the application of this method for similar analysis in the future.

关键词： Support vector machines Training Productivity Sentiment analysis Analytical models Accuracy Costs Reviews Kernel Optimization

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Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning

arXiv

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arXiv 2025年

作者： Chen, Chen Guan, Peiyuan Chen, Ziru Taherkordi, Amir Hou, Fen Cai, Lin X. Department of Computer Science and Technology University of Cambridge United Kingdom Department of Informatics University of Oslo Norway Department of Electrical and Computer Engineering Illinois Institute of Technology United States Department of Electrical and Computer Engineering University of Macau China

Serverless computing adopts a pay-as-you-go billing model where applications are executed in stateless and short-lived containers triggered by events, resulting in a reduction of monetary costs and resource utilization. However, existing platforms do not provide an upper bound for the billing model which makes the overall cost unpredictable, precluding many organizations from managing their budgets. Due to the diverse ranges of serverless functions and the heterogeneous capacity of edge devices, it is challenging to receive near-optimal solutions for deployment cost in a polynomial time. In this paper, we investigated the function scheduling problem with a budget constraint for serverless computing in wireless networks. Users and IoT devices are sending requests to edge nodes, improving the latency perceived by users. We propose two online scheduling algorithms based on reinforcement learning, incorporating several important characteristics of serverless functions. Via extensive simulations, we justify the superiority of the proposed algorithm by comparing with an ILP solver (Midaco). Our results indicate that the proposed algorithms efficiently approximate the results of Midaco within a factor of 1.03 while our decision-making time is 5 orders of magnitude less than that of Midaco. © 2025, CC BY.

关键词： Budget control

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UAV trajectory planning in NOMA-aided UAV-mounted RIS networks: A budgeted Multi-armed bandit approach 17

UAV trajectory planning in NOMA-aided UAV-mounted RIS networ...

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2024 17th International Conference on Computer and Electrical engineering, ICCEE 2024

作者： Hosny, Ramez Hashima, Sherief Hatano, Kohei Zaki, Rokaia M. ElHalawany, Basem M. Electrical Engineering Department Faculty of Engineering at Shoubra Benha University Cairo Egypt Computational Learning Theory Team RIKEN-AIP Fukuoka819-0395 Japan Engineering Dept Egyptian Atomic Energy Authority Cairo13759 Egypt Higher Technology Institute 10th of Ramadan Egypt Department of Informatics Kyushu University Fukuoka819-0395 Japan Higher Institute of Engineering and Technology Kafr El-Shaikh33514 Egypt Kuwait College of Science and Technology Doha District Block 4 93004 Kuwait

Reconfigurable Intelligent Surface (RIS) and Non-Orthogonal Multiple Access (NOMA) can be used as supporting technologies for driving the effective development of Unmanned Aerial Vehicles (UAV) communication systems. Herein, both technologies are combined to widen the millimeter-wave Base Stations (mmWave-BS) coverage range. In this work, we consider UAV Trajectory Planning (UTP) problem to enhance the performance of a NOMA-based UAV-mounted RIS communication network. The problem is formulated using two Budgeted Multi-Armed Bandits (BMAB) schemes. BMAB is a variant of the classical MAB algorithm that considers the random cost of selecting an arm. The UAV performs as a bandit player attempting to maximize its achievable rate (i.e., reward) via accessing different grids in its trajectory. This reward is accomplished simultaneously while minimizing the energy/cost of flying the UAV from one grid to another to preserve its battery lifetime. Hence, two variants of the Budgeted upper confidence bound (BUCB), namely the BUCB1 and BUCB2, are investigated, where the simulations show that both algorithms outperform other benchmarks. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Antennas

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Improved Accuracy of Decision Tree with XGBoost Technique in Cat Skin Disease Diagnosis

Improved Accuracy of Decision Tree with XGBoost Technique in...

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science and Information technology in Smart Administration (ICSINTESA), International Conference of

作者： Nanda Safrina Maya Silvi Lydia Benny Benyamin Nasution Master of Informatics Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Computer Engineering and Informatics Politeknik Negeri Medan Medan Indonesia

ISBN: (数字)9798350376111

ISBN: (纸本)9798350376128

This research aims to develop an expert system for initial diagnoses of skin diseases in cats using the Decision Tree method. It assists cat owners in identifying skin diseases based on observed symptoms. Data from expert veterinarian drh. Ismi Azima, including various types of cat skin diseases and their symptoms, were used. The research employs 80% training data and 20% testing data to develop the classification model. Testing results indicate the Decision Tree model achieves up to 90% average accuracy in diagnosing cat skin diseases based on 50 datasets. This expert system aids in diagnosis and provides treatment and prevention solutions, beneficial for cat owners, especially in areas with limited veterinary access. In conclusion, this Decision Tree-based expert system effectively provides initial diagnoses of skin diseases in cats with high accuracy.

关键词： Accuracy Prevention and mitigation Training data Skin Decision trees Medical diagnosis Expert systems Diseases Testing Python

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Microwave Alignment and Displacement Sensors in Groove Gap Waveguide technology 52

Microwave Alignment and Displacement Sensors in Groove Gap W...

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52nd European Microwave Conference, EuMC 2022

作者： Horestani, Ali K. Shaterian, Zahra Mrozowski, Michal Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Department of Microwave and Antenna Engineering Gdansk Poland Wireless Telecommunication Group A&s Institute Ministry of Science Research and Technology Tehran Iran Department of Electrical Engineering Tehran Iran

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

This paper is aimed at presenting highly sensitive microwave displacement and alignment sensors. With this goal, the method of realizing mechanically tunable cavity resonators in groove gap waveguides technology is presented. The resonance frequency of the cavity is then used for displacement sensing. It is also demonstrated that the symmetry properties of a pair of groove gap waveguide cavities can be used to improve the robustness of the sensor to variations in ambient conditions. The proposed sensor also benefits from a reference zero, thus can be used as an alignment sensor. A very good sensitivity of S=1.25 GHz/mm is achieved, which can be easily improved by scaling the operating frequency. © 2022 European Microwave Association (EuMA).

关键词： Microwave sensors

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Development of separation technology for dissimilar material bonding products of steel plate and CFRTP using the eddy current method 7

Development of separation technology for dissimilar material...

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7th International Conference on Intelligent informatics and Biomedical sciences, ICIIBMS 2022

作者： Itaya, Toshiya Ito, Junya Maekawa, Masato Yoshioka, Saijiro National Institute of Technology Suzuka College Department of Electronic and Information Engineering Mie Suzuka Japan National Institute of Technology Suzuka College Advanced Engineering Course of Science and Technology for Innovation Mie Suzuka Japan National Institute of Technology Toba College Department of Informatics and Mechanical Engineering Mie Toba Japan

ISBN: (数字)9781665482295

ISBN: (纸本)9781665482295

Owing to their lightweight and high specific strength, carbon fiber reinforced plastics (CFRTPs) are now receiving widespread applications in the transportation and energy industries. In this regard, developing technology for separating and extracting CFRTP from dissimilar material bonding products of metal and CFRTP has become a research hotspot. Therefore, in this study, we developed a separation technology for dissimilar material bonding products of steel sheet and CFRTP using the eddy current method. As a result, we succeeded in separating dissimilar materials using a fabricated induction heating system. In addition, atomic force microscope (AFM) analysis of CFRTP was conducted to confirm the change in physical properties before and after heating. © 2022 IEEE.

关键词： Induction heating

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ECG Data Forecasting Based on Linear Models Approach: A Comparative Study 20

ECG Data Forecasting Based on Linear Models Approach: A Comp...

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20th International Multi-Conference on Systems, Signals and Devices, SSD 2023

作者： Othman, G. Ben Sidhom, L. Chihi, I. Kamavuako, E.N. Trabelsi, M. El Manar University LAPER Tunis Tunisia Carthage University National Engineering School of Bizerte Tunis Tunisia University of Luxembourg Faculty of Science Technology and Medicine Deptartement of Engineering Kirschberg Luxembourg King's College London E. N. Kamavuako Department of Informatics London United Kingdom Kuwait College of Science and Technology M. Trabelsi Electronic and Communications Engineering Department Kuwait City Kuwait

ISBN: (纸本)9798350332568

This paper investigates the replacement of the surface electrodes (physical sensors) measuring the electrocardiogram (ECG) signals by forecasting linear algorithms. The aim is to test the ability to overcome the loss of information in case of failure of any electrode. From real ECG signals measured in different auscultation sites, the ability to predict the ECG signal of one site depending on another site is evaluated by 3 methods. In this paper, based on quantitative criteria, a comparative study between Linear regression (LR) model, K-nearest neighbors model (KNN) and Random forest regression (RFR). The advantages and drawbacks of each one are also highlighted also that the three models are very accurate in building a new ECG *** similar to the real signal. © 2023 IEEE.

关键词： Forecasting

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