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16th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Ramajaneyulu Kullayappa Naik, K.C. Kishore Babu, K. Babu, Vidyanadha Masood, Jafar Ali Ibrahim Syed Qis College of Engineering and Technology Department of ECE Ongole India Qis College of Engineering and Technology Department of Aimlds Ongole India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9798331505264

This research study comprehensively examines test approaches for Multiple-Input Multiple-Output (MIMO) systems and Microelectromechanical Systems (MEMS), focusing on the challenges associated with miniaturized and multi-channel systems. The study proposes innovative testing methodologies that address signal integrity, cross-talk, and sensitivity in such complex systems. By integrating advanced simulation techniques and empirical testing, this research provides a robust framework for improving the reliability and performance of MIMO and MEMS devices, especially in applications requiring high precision and miniaturization. © 2024 IEEE.

关键词： MIMO systems

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Smart Parking System using IOT 15

Smart Parking System using IOT

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15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Honrao, Yash Rane, Rashmi Dr.Vishwanath Karad MIT World Peace University School of Computer Engineering and Technology Pune India

ISBN: (纸本)9798331300579

Due to the growing number of automobiles on the road, there is a significant increase in demand for parking spots in metropolitan areas. Therefore, motorists constantly struggle to find good parking spots. Moreover, the existing parking system is ineffective, and also long lines and traffic jams are caused due to manual issuing of parking fees. In order to address these issues and offer a hassle-free parking experience, there is an urgent need of an automated parking system. Therefore we came up with an idea of creating an Internet of Things (IoT)-based smart parking system that makes use of an Arduino, PIR sensors, and stepper motors for the barrier in order to address these issues. This type of parking system would rather enhance a user's parking experience, thus saving them time and effort. The barrier system will be automated through the use of PIR sensors and stepper motors, enabling automation of gate entry and exit, thus minimizing the need for manual intervention. The proposed system intends to offer hassle-free parking for car owners while providing parking lot owners with a dependable and effective parking management system. © Grenze Scientific Society, 2024.

关键词： Traffic congestion

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computer-aided hierarchical interactive gesture modeling under virtual reality environment

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computer-Aided Design and Applications 2022年 19卷 43-53页

作者： Zhu, Lihua Lu, Na School of Computer Science and Information Engineering Anyang Institute of Technology Henan Anyang455000 China

The first mock exam is based on the interaction gesture in virtual reality. There are many different types of interaction gestures. In this paper, a dynamic visual gesture interaction method suitable for desktop VR is designed with the help of computational assistant tools and gesture recognition method. Through the interactive experimental analysis of the visualization system, the designed dynamic gesture interaction method works well in the immersive visualization system, provides users with a high sense of immersion and helps users understand the data more effectively. In addition, aiming at the shortcomings of leap motion gesture tracking in desktop VR, we use computer vision technology and deep learning gesture recognition method to propose a strategy. By calculating the self-occlusion degree of hand images captured by deep camera, we recognize simple gestures with low self-occlusion degree by fast model-based method, the complex gesture image uses the trained convolution neural network for joint point recognition, which not only ensures the recognition accuracy, but also improves the problem of low frame number when the deep learning method is applied to VR. Finally, the superiority and reliability of computer-aided hierarchical interactive gesture modeling for virtual reality are verified by experiments. © 2022 CAD Solutions, LLC,.

关键词： Virtual reality

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Domain Contrastive Learning for Multi-Site Alzheimer's Disease Classification 20

Domain Contrastive Learning for Multi-Site Alzheimer's Disea...

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20th International computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2023

作者： Fiasam, Linda Delali Rao, Yunbo Sey, Collins Aggrey, Esther Stacy E. B. Kodjiku, Seth Larweh Browne, Judith Ayekai Danso, Juliana Mantebea Ukwuoma, Chiagoziem C. Gyarteng, Emmanuel S. A. School of Information and Software Engineering University of Electronic Science and Technology of China China School of Computer Science and Technology Zhejiang Gongshang University China School of Computer Science and Technology University of Electronic Science and Technology of China University China College of Nuclear Technology and Automation Engineering Chengdu University of Technology China

ISBN: (纸本)9798350318982

In the field of medical imaging, accurately classifying Alzheimer's Disease (AD) poses a substantial challenge, primarily due to the inherent variability in imaging data across different clinical sites. This paper introduces a novel approach, Domain Contrastive Learning (DCL), to address this challenge by enhancing the robustness and transferability of AD classification models using multi-site Magnetic Resonance Imaging (MRI) data. DCL leverages a unique contrastive learning technique within an autoencoder's latent space, enabling the extraction of domain-invariant features essential for accurate diagnosis. We rigorously evaluate the proposed network on brain images from three distinct imaging sites, employing a Domain Generalization (DG) training protocol to ensure robustness and generalizability across varying data sources. Our model is evaluated on three binary classification tasks: AD vs. Normal Control (NC), AD vs. Mild Cognitive Impairment (MCI), and MCI vs. NC. Results demonstrate that DCL outperforms existing methods, especially in AD vs. NC classification, achieving higher accuracy, sensitivity, and specificity with 0.51%, 1.54% and 1.68% increments respectively. This underscores DCL's potential as a robust and generalizable method for enhanced AD diagnosis, marking a significant step forward in medical imaging challenges in a multi-site context. © 2023 IEEE.

关键词： Magnetic resonance imaging

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Study on the Impact of Urban Road Network on Commercial Layout – a Case Study of Chengdu 1

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2nd International Conference on Advanced Civil engineering and Smart Structures, ACESS 2023

作者： Che, Lu Guo, Sidai Deng, Yuan Chen, Junliang School of Economics and Management Southwest University of Science and Technology Mianyang China School of Civil Engineering and Architecture Southwest University of Science and Technology Mianyang China School of Computer Science and Technology Southwest University of Science and Technology Mianyang China

ISBN: (数字)9789819715145

ISBN: (纸本)9789819715138

Urban road network form and commercial layout play an important role in urban development, the study of the relationship between the two can provide support for urban commercial functional area layout, road planning and commercial planning of government departments. Taking the inner city of the Third Ring Road of Chengdu as an example, this study quantitatively analyzed the correlation between road network form and retail layout by using spatial syntax and GIS spatial analysis. The results show that: (1) the distribution of different retail businesses extends from east to west, which is consistent with the distribution direction of road network. (2) The road network with high global integration degree is mainly concentrated in one ring, which has high accessibility, centrality and strong crowd gathering ability. At the same time, the integration degree of the four axes of northwest, northeast, southwest and south of the First ring center is also high, which is basically consistent with the axial development of Chengdu in recent years. (3) Road connection value and control value have a high impact on commercial outlets, especially for convenience stores and supermarkets. At the same time, the impact of road depth on retail layout is relatively low. Overall, in terms of road planning, emphasis should be placed on the coordination of urban road connection values and control values, so as to alleviate traffic pressure while promoting the further development of retail commerce. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Roads and streets

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Predicting compressive strength of concrete with iron waste: a BPNN approach

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Asian Journal of Civil engineering 2024年第7期25卷 5571-5579页

作者： Tipu, Rupesh Kumar Batra, Vandna Suman Pandya, K.S. Panchal, V.R. Department of Civil Engineering School of Engineering & amp Technology K. R. Mangalam University Department of Computer Science and Engineering School of Engineering & amp Technology K. R. Mangalam University Department of Electrical Engineering Parul Institute of Engineering & amp Technology Parul University Department of Civil Engineering M. S. Patel Chandubhai S. Patel Institute of Technology (CSPIT)Charotar University of Science and Technology (CHARUSAT) CHARUSAT Campus

This study presents a comprehensive exploration into predicting the compressive strength of concrete by incorporating waste iron as a partial substitute for sand, employing a backpropagation neural network (BPNN) model. The optimized BPNN model, fine-tuned with intricate hyperparameters, demonstrates exceptional predictive accuracy, achieving an R² score of 0.9272 on the test set. Low mean squared error (MSE), Root Mean squared error (RMSE), Mean absolute error (MAE), and mean absolute percentage error (MAPE) values underscore the model's proficiency in minimizing prediction errors. The hyperparameter optimization process results in a complex neural network architecture, highlighting the intricate nature of capturing the nuances of concrete compressive strength. Visualization tools, including actual versus predicted plots and radar plots, offer clear insights into the model’s consistent excellence across various metrics. The analysis not only validates the model's precision but also provides a visually intuitive representation of its performance. Global sensitivity analysis reveals that the percentage of iron waste (‘Iron Waste (%)’) emerges as a pivotal factor, with ST and S1 values of 0.668864 and 0.643553, respectively, influencing the variability in compressive strength predictions. ‘Age of concrete’ of the concrete follows as the second most influential factor, with ST and S1 values of 0.344926 and 0.321598, respectively. This study contributes to understanding the intricate relationships between input features and concrete compressive strength, emphasizing the importance of considering the proportion of iron waste in sustainable concrete mixtures. Overall, the findings provide valuable insights for optimizing concrete formulations and advancing eco-friendly construction practices. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Backpropagation neural network Compressive strength prediction Concrete Global sensitivity analysis Hyperparameter optimization Sustainable construction Waste iron

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Critical Relation Path Aggregation-Based Industrial Control Component Exploitable Vulnerability Reasoning

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computers, Materials & Continua 2023年第5期75卷 2957-2979页

作者： Zibo Wang Chaobin Huo Yaofang Zhang Shengtao Cheng Yilu Chen Xiaojie Wei Chao Li Bailing Wang School of Computer Science and Technology Harbin Institute of TechnologyWeihai264209China National Computer System Engineering Research Institute of China Beijing100083China School of Cyber Science and Technology Harbin Institute of TechnologyHarbin150001China Weihai Cyberguard Technologies Co.Ltd. Weihai264209China Faculty of Science Vrije Universiteit AmsterdamAmsterdam1081HVNetherlands

With the growing discovery of exposed vulnerabilities in the Industrial Control Components(ICCs),identification of the exploitable ones is urgent for Industrial Control System(ICS)administrators to proactively forecast potential ***,it is not a trivial task due to the complexity of the multi-source heterogeneous data and the lack of automatic analysis *** address these challenges,we propose an exploitability reasoning method based on the ICC-Vulnerability Knowledge Graph(KG)in which relation paths contain abundant potential evidence to support the *** reasoning task in this work refers to determining whether a specific relation is valid between an attacker entity and a possible exploitable vulnerability entity with the help of a collective of the critical *** proposed method consists of three primary building blocks:KG construction,relation path representation,and query relation reasoning.A security-oriented ontology combines exploit modeling,which provides a guideline for the integration of the scattered knowledge while constructing the *** emphasize the role of the aggregation of the attention mechanism in representation learning and ultimate *** order to acquire a high-quality representation,the entity and relation embeddings take advantage of their local structure and related *** critical paths are assigned corresponding attentive weights and then they are aggregated for the determination of the query relation *** particular,similarity calculation is introduced into a critical path selection algorithm,which improves search and reasoning ***,the proposed algorithm avoids redundant paths between the given pairs of *** results show that the proposed method outperforms the state-of-the-art ones in the aspects of embedding quality and query relation reasoning accuracy.

关键词： Path-based reasoning representation learning attention mechanism vulnerability knowledge graph industrial control component

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Enhanced Attitude Stabilization of Quadrotors Using a Single-Axis Constraint Moment Disturbance Obserner

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IEEJ Transactions on Industry Applications 2024年第4期144卷 257-264页

作者： Ichiryu, Atsuhiro Shimada, Akira Electrical Engineering and Computer Science Graduate School of Engineering and Science Shibaura Institute of Technology 3-7-5 Toyosu Koto-ku Tokyo135-8548 Japan Dept. of Engineering and Design Shibaura Institute of Technology 3-7-5 Toyosu Koto-ku Tokyo135-8548 Japan

This study proposes a maintaining a quadrotor’s attitude system using a ‘moment disturbance observer’ aimed at enhancing stability. In recent years, quadrotors have become increasingly prevalent in sectors such as agriculture, surveying, logistics, aerial photography, infrastructure inspection, and security. However, with their growing, there have been concerns about potential physical and human harm stemming from accidents. The Ministry of Land, Infrastructure, Transport, and Tourism has reported accidents attributed to challenging maneuvering conditions that have resulted in crashes. This study aims to develop a quadrotor that can maintain a stable attitude during sudden and significant alterations in its orientation. We suggest employing a moment disturbance observer to estimate the necessary moments for stable attitude maintenance. Numerical simulation results show that the proposed method surpasses traditional PID control in terms of attitude stabilization. Furthermore, this method resulted in superior attitude stability in single-axis experiments with a mechanically constrained quadrotor compared to conventional PID control methods. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Aerial photography

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SimHOEPI:A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model

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Quantitative Biology 2024年第2期12卷 197-204页

作者： Yahan Li Xinrui Cai Junliang Shang Yuanyuan Zhang Jin-Xing Liu School of Computer Science Qufu Normal UniversityRizhaoChina School of Information and Control Engineering Qingdao University of TechnologyQingdaoChina School of Health and Life Sciences University of Health and Rehabilitation SciencesQingdaoChina

Epistasis is a ubiquitous phenomenon in genetics,and is considered to be one of main factors in current efforts to unveil missing heritability of complex *** data is crucial for evaluating epistasis detection tools in genome-wide association studies(GWAS).Existing simulators normally suffer from two limitations:absence of support for high-order epistasis models containing multiple single nucleotide polymorphisms(SNPs),and inability to generate simulation SNP data *** this study,we proposed a simulator SimHOEPI,which is capable of calculating penetrance tables of high-order epistasis models depending on either prevalence or heritability,and uses a resampling strategy to generate simulation data *** of SimHOEPI are the preservation of realistic minor allele frequencies in sampling data,the accurate calculation and embedding of high-order epistasis models,and acceptable simulation time.A series of experiments were carried out to verify these properties from different *** results show that SimHOEPI can generate simulation SNP data independently with high-order epistasis models,implying that it might be an alternative simulator for GWAS.

关键词： high-order epistasis model penetrance table resampling strategy simulation single nucleotide polymorphisms

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Computational Modeling of Thermal Effects on MoS2 Electrodes in KOH Electrolyte for Energy Storage Applications 3

Computational Modeling of Thermal Effects on MoS2 Electrodes...

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3rd International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Singh, Iqbal Kaur, Amardeep Hamza, Muhammad Sharma, Rohit Southern Illinois University Edwardsville Electrical and Computer Engineering EdwardsvilleIL United States Beijing Institute of Technology School of Mechanical Engineering Beijing China Satyam Institute of Engineering & Technology Punjab Amritsar India

ISBN: (纸本)9798331515911

An axisymmetric two-dimensional model of a supercapacitor using molybdenum disulfide electrodes and 1M KOH electrolyte is simulated under different operating cell currents involving charge-discharge process using COMSOL Multiphysics to analyze different temperatures, inner temperature distribution field, electric current density, ion concentration and various types of heat transfers. In this paper, the influence of different current values on the thermal behavior of the supercapacitor is investigated and key thermal trends are identified showing the effects of increasing current on the supercapacitor. © 2025 IEEE.

关键词： Potassium hydroxide

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