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2024 IEEE International Conference on Communications, Computing, Cybersecurity and Informatics, CCCI 2024

作者： Meshram, Chandrashekhar Obaidat, Mohammad S. Sadoun, Balqies Imoize, Agbotiname Lucky Studies and Research in Mathematics Jayawanti Haksar Government Post Graduate College Department of Post Graduation MP Betul460001 India University of Science and Technology Beijing Beijing100083 China SRM University SRM Nagar TN Kattankulathur603203 India Amity University UP Noida201301 India College of Engineering Al-Balqa Applied University AI-Salt Jordan University of Lagos Faculty of Engineering Department of Electrical and Electronics Engineering Akoka Lagos100213 Nigeria Institute of Digital Communication Ruhr University Department of Electrical Engineering and Information Technology Bochum44801 Germany

ISBN: (纸本)9798350349832

The advent of the Internet of Things (loT) heralds a trans formative era for electronic healthcare systems in smart environments, enabling remote healthcare delivery for individuals with special medical needs through smart home technologies. These smart homes are fitted with specialized electronic devices that automate healthcare delivery, enhancing patient safety and enabling real-Time health monitoring. Central to this system is a local intelligence unit that processes sensed data, identifies critical conditions, and facilitates communication between patients and healthcare providers. The integration of telemedicine and telecare into smart homes has led to the development of Telecare Medicine information Systems (TMIS), further advancing remote healthcare services. However, TMIS faces significant security challenges, particularly in protecting sensitive user data transmitted over public networks. To overcome these vulnerabilities, identity-based authentication techniques based on extended chaotic maps have been proposed, though they often fall short of advanced security threats. This study introduces an innovative identity-based authentication scheme, leveraging an extended Chebyshev chaotic map within a smart city context, tailored for use in multi-server environments without trusted server relationships. The proposed scheme eliminates the need for a registration center and requires users to maintain only a single password for accessing multiple TMIS servers, offering enhanced security features and reduced computational overhead. The security and efficiency of the proposed scheme are substantiated through formal proof in the random oracle model, marking a significant advancement in secure remote healthcare delivery. © 2024 IEEE.

关键词： Smart homes

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Evaluation of Single and Duplex Plasma Treatment Applied to Aisi 409 Stainless Steel

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SSRN 2024年

作者： do Monte e Silva, André Felipe Soares de Almeida, Larissa Solano Monteiro, Leandro Rossino, Luciana Sgarbi Nunes, Maelson Sousa Libório, Maxwell Santana de Carvalho Costa, Thércio Henrique Bandeira, Rafael Marinho de Sousa, Rômulo Ribeiro Magalhães Post-Graduate Materials Science and Engineering Program Federal University of Piauí PI Teresina Brazil Post-Graduate Program in Materials Science Federal University of São Carlos São Carlos Brazil Post-Graduate Program in Chemistry Federal University of Piauí PI Teresina Brazil School of Science and Technology Federal University of Rio Grande do Norte RN Natal Brazil Brazil Department of Mechanical Engineering Federal University of Piauí PI Teresina Brazil Brazil

The industrial landscape has witnessed a growing demand for components exhibiting superior performance and extended lifespan, especially in parts made of stainless steels like AISI 409 steel, widely used in automotive exhaust systems, heat exchangers, and lightweight structural components. This study investigates the enhancement of surface properties of AISI 409 stainless steel through cathodic cage plasma nitriding (CCPN) and cathodic cage plasma deposition (CCPD) processes, focusing on the novel implementation of duplex treatments. The research aims to improve the mechanical strength, wear resistance, and corrosion resistance of the steel by forming nitrides and vanadium nitride films on its surface. The duplex treatments, specifically N400D450 and N450D450, were found to significantly enhance the hardness of AISI 409 stainless steel, with the N450D450 sample achieving a maximum hardness of 1100 HV—a 461.22% increase compared to the untreated steel. This enhancement is attributed to the formation of a thick, uniform nitrided layer followed by a vanadium nitride film. The critical role of processing order was highlighted, with the sequence of nitriding followed by deposition proving more effective than the reverse. Corrosion resistance was markedly improved in the duplex-treated samples. The N450D450 sample exhibited an Ecorr of -198 mV and reduced jcorr values, indicating superior resistance to corrosive environments. These results underscore the synergistic effect of combining nitriding and vanadium deposition, which optimizes the formation of protective surface layers. Overall, this study demonstrates that duplex treatments significantly enhance the surface properties of AISI 409 stainless steel, offering the potential for extended component lifespan and reduced maintenance in industrial applications. The findings suggest that careful control of process parameters and treatment sequence is essential for achieving optimal results. © 2024, The Authors. All rights

关键词： Tribology

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SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification

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IEEE Transactions on Consumer Electronics 2023年第3期69卷 250-260页

作者： Chen, Tsai-Min Tsai, Yuan-Hong Tseng, Huan-Hsin Liu, Kai-Chun Chen, Jhih-Yu Huang, Chih-Han Li, Guo-Yuan Shen, Chun-Yen Tsao, Yu National Taiwan University and Academia Sinica Graduate Program of Data Science Taipei106319 Taiwan Academia Sinica Research Center for Information Technology Innovation Taipei115 Taiwan Taiwan Artificial Intelligence Academy Foundation Program of Taiwan AI Academy New Taipei22065 Taiwan Artificial Intelligence Foundation Technology Development Center New Taipei24158 Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei10617 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei115 Taiwan National Taiwan University Department of Mathematics Taipei10617 Taiwan

A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W) devices has been developed as a smart heath care system to support automatic cardiac arrhythmias (CAs) classification using electrocardiography (ECG). However, long-term and continuous ECG monitoring is challenging because of limitations of batteries and transmission bandwidth of P/W devices while incorporated with consumer electronics (CE). A feasible approach to address this challenge is to decrease sampling rates. However, low sampling rates lead to low-resolution signals that hinder the CAs classification performance. In this study, we propose a DL-based ECG signal super-resolution framework (called SRECG) to enhance low-resolution ECG signals by jointly considering the accuracies when applied to the DL-based high-resolution multiclass classifier (HMC) of CAs. In our experiments, we downsampled the ECG signals from the CPSC2018 dataset and evaluated their HMC accuracies with and without the SRECG. Experimental results show that SRECG can well improve the HMC accuracies as compared to traditional interpolation methods. Moreover, approximately half of the CAs classification accuracies of HMC were maintained within the enhanced ECG signals by SRECG. The promising results confirm that SRECG can be suitably used to enhance low-resolution ECG signals from P/W devices with CE to improve their cloud-based HMC performances. © 1975-2011 IEEE.

关键词： Electrocardiography

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Handling Problems of Credit Data for Imbalanced Classes using SMOTEXGBoost 3

Handling Problems of Credit Data for Imbalanced Classes usin...

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3rd International Conference on Computational Science and information Management, ICoCSIM 2019

作者： Mardiansyah, Heru Widia Sembiring, Rahmat Efendi, Syahril Graduate Program of Computer Science Department of Information Technology Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medam Indonesia

Some researchers find data with imbalanced class conditions, where there are data with a number of minorities and a majority. SMOTE is a data approach for an imbalanced classes and XGBoost is one algorithm for an imbalanced data problems. This research uses SMOTE and XGBoost or abbreviated as SMOTEXGBoost for handling data with an imbalanced classes. The results showed almost the same accuracy value between SMOTE and SMOTEXGBoost at 99%. While the value of AUC SMOTEXBoost has a more stable value than SMOTE that is equal to 99.89% for training and 98.51% for testing. © Published under licence by IOP Publishing Ltd.

关键词： Data handling

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Predicting Factors Influencing the Actual Use of E-Learning Platform among Medical Students in the Philippines: Unified Theory of Acceptance and Use of technology Approach 24

Predicting Factors Influencing the Actual Use of E-Learning ...

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4th International Conference on Internet and E-Business, ICIEB 2024

作者： Benito, Omar Paolo Prasetyo, Yogi Tri Roque, Ralph Andre C. Flores, Fernan Patrick Cahigas, Maela Madel L. Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Taiwan Department of Industrial Engineering and Management Yuan Ze University Taiwan School of Industrial Engineering and Engineering Management Mapua University Philippines School of Graduate Studies Mapua University Philippines Department of Information Systems Sepuluh Nopember Institute of Technology Indonesia University of Surabaya Indonesia

ISBN: (纸本)9798400709739

eLearning has been utilized as a mode of instruction among medical students amidst the COVID-19 pandemic. The present study aimed to investigate the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines by employing the latent variables of UTAUT2, along with two additional latent variables gathered from various related literature. A sum of 360 medical students participated and answered an online survey that consists of 40 questions. A stepwise multiple linear regression was utilized and found that performance expectancy (PE), habit (HB), and instructor characteristics (IC), can successfully predict the actual use (AU) of medical students with a precision of 54.22%. A higher performance expectancy (PE), habit (HB), and instructor characteristics (IC) can enhance and promote the acceptance of medical eLearning platforms. This is the first study that has examined the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The outcomes of this research can serve as guidelines for the Commission on Higher Education of the Philippines for the enhancement of eLearning platforms. Although this study only utilized the latent variables of UTAUT2 along with two additional variables: Learning Value and Instructor Characteristics;the findings of this study would still hold significant value for promoting open innovation in eLearning platforms in medical fields worldwide. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： COVID-19

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Modernizing CPS with Blockchain: Applications, Challenges & Future Directions 2

Modernizing CPS with Blockchain: Applications, Challenges & ...

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2nd International Conference on Interdisciplinary Cyber Physical Systems, ICPS 2022

作者： Ansar, Syed Anas Singh, Archita Aggrawal, Shruti Yadav, Amitabha Pathak, Prabhash Chandra Khan, Raees Ahmad Babu Banarsi das University Department of Computer Application Lucknow India Thapar Institute of Engineering and Technology Department of Computer Science and Engineering Patiala India Babasaheb Bhimrao Ambedkar University Department of Information Technology Lucknow India National Post Graduate College Department of DDUKK Lucknow India

ISBN: (数字)9781665470223

ISBN: (纸本)9781665470223

The necessity for ameliorating management and secure process is imperiously required in this tech-driven world with the digitized working environment. The increased usage of the internet and the burgeoning connectivity through IoT have provided a significant opportunity for Cyber-Physical Systems (CPS) to preponderate. These are advanced computerized devices that function together to perform specific tasks, respond to human stimuli, and control the physical segments. While this technology is already used in automatic pilot avionics, robotics systems, medical monitoring, industrial control systems, etc. yet the advancement of these systems must comprehend incontrovertible focus on making them efficient and secure. To improve the resilience, dependability, and security of these systems, researchers can incorporate Blockchain technology which has an inbuilt blend of consensual algorithms, secure protocols, and distributed data storage, with the CPS. Moreover, with the advancement of IoT in the upgraded version of CPS, such as autonomous driving, there's a major need to manage big data with low latency and high accuracy. Therefore, deep learning can be applied for systematic analysis of big data, which supports vivid analytic ability. While these emerging technologies set some security standards and enable users to authenticate their digital information, these technologies have the potential to significantly influence the current trend in the field of CyberPhysical Systems. This article focuses on a comprehensive analysis of Blockchain applications synthesized with CPS. Furthermore, this article briefly presented the BCPS (Blockchain-enabled CPS) framework for addressing issues in the Industry 4.0 manufacturing system while adopting Blockchain (BC) in CPS. © 2022 IEEE.

关键词： Blockchain

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Deep-Learning-Based Magnetic Resonance Simultaneous Multislice Imaging Using Holographic Image Decoding

Deep-Learning-Based Magnetic Resonance Simultaneous Multisli...

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IEEE International Conference on Image Processing

作者： Satoshi Ito Yuki Sato Naoya Endo Shohei Ouchi Electrical and Electronic Systems Engineering Graduate Program in Information Utsunomiya University Department of Innovative Electrical and Electronic Engineering National Institute of Technology Oyama

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

We propose a new magnetic resonance simultaneous multislice imaging (SMS) by developing our previously proposed imaging method based on the principle of holography. Different amplitude modulations for each slice are applied to separate the slice images. The slice image separation is performed using a data-driven science in which U-Nets separates the slice images using the given amplitude modulation as a cue. Simulation experiments using a real-valued and an phase-varied image model revealed the relationship between the coefficients of amplitude modulation, the number of simultaneously excited slices, and image quality. In addition, we performed image separation experiments on the holographic imaging method by approximating the excited volume region as five slice images with no gaps, and showed the feasibility of image separation. This method has the potential to be a new type of SMS.

关键词： Image quality Deep learning Phase modulation Neural networks Magnetic resonance Holography Amplitude modulation

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Big Data Approach for Sustainable Environmental Design 10

Big Data Approach for Sustainable Environmental Design

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17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Jani, Kruti Rajyalaxmi, M. Gehlot, Anita Halwani, Marwah A. Marwah, Aparna Bawa, Daljeet Singh Shri Chimanbhai Patel Post Graduate Institute of Computer Application Ahmedabad India School of Business Sr University Telangana Warangal India Uttaranchal Institute of Technology Uttaranchal University India King Abdulaziz University Management Information System Department Rabigh Saudi Arabia Bvimr Department of Management Studies Delhi India

ISBN: (纸本)9789380544472

The concept of sustainable environment enhancement has drawn attention on a global scale. This study examines the connection between environmental design as well as the long-term development of a sustainable environment in the modern era using a big data approach. Big data analytics is the challenging process of sifting through vast amounts of data to discover subtle data like market patterns, connections, and client preferences. To evaluate commercial big data, we proposed a novel, highly efficient approach for controlling the sustainable environmental supply system. Additionally, this lessens the hazard that comes with using hazardous substances. This research covers both economic expenses and carbon emissions in 3 contexts. The results show that the environment's sustainability scale will expand as the Binhai region of China is further developed, the commercial structure is changed, and the public's view of urban sustainable advancement steadily rises. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Big data

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Decade-long performance of constructed wetlands in the dairy industry following an aerated facultative pond

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Chemosphere 2025年 376卷 144271页

作者： Vieira de Mendonça, Henrique Carvalho, Camila da Motta de Costa, Anderson Gomide Ribas, Maria Clara Euriques, Jorge Felipe Post-graduate Program in Agricultural and Environmental Engineering / Institute of Technology / Engineering Department Federal Rural University of Rio de Janeiro Campus Seropédica Seropédica RJ Rio de Janeiro23890-000 Brazil

Long-term data are essential for decision-making in the operation of constructed wetlands;however, such data are scarce. In the present study, a subsurface flow CW system was monitored over a 10-year period for the treatment of wastewater from the dairy industry. Prior to the CW, an aerated facultative lagoon was operated, and its data were also included in the study. The integration of both natural treatment systems (Lagoon + CW) revealed synergy in the combined removal of pollutants and nutrients. Up until the seventh year of operation, the integration of the systems removed more than 98% of COD, BOD5, and TSS, as well as 99.8%, 96.5%, and 71.3% of oils and greases, ammoniacal nitrogen, and total phosphorus, respectively. Surfactants, oils, and greases were entirely removed. The presence of significant clogging and surface flow from the seventh year onwards led to a reduction in treatment efficiency, indicating that this is the maximum recommended operating time for CWs following an aerated facultative lagoon in the dairy industry. After this period, all substrates should be replaced. © 2025 Elsevier Ltd

关键词： Agroindustry Brachiaria Environmental control Pollutant removal Synergy

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An Augmented Reality Game's User Experience and Its Effect on Immersion Leading to Intention

An Augmented Reality Game's User Experience and Its Effect o...

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International Conference on ICT For Smart Society (ICISS)

作者： Tanty Oktavia Kawang Utomo Ford Lumban Gaol Takaaki Hosoda Information Systems Management Department BINUS Graduate Program - Master of Information System Management Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Decision Science Department Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (数字)9798350389654

ISBN: (纸本)9798350389661

Since the emergence of Pokémon Go in 2016, the world has been introduced to Augmented Reality (AR) games. Many IT companies have begun developing augmented reality (AR) games due to the great commercial potential in this industry. Certain products may have managed to remain viable in the market, while others were forced to close due to one or two factors. Since the emergence of Pokémon Go, no other game has managed to surpass its unprecedented success. The company responsible for developing Pokémon Go has decided to shut down one of their games due to a lack of consumer interest. The technology of augmented reality (AR) is consistently associated with the concept of immersion. Immersion is a key aspect of the game that allows users to deeply engage and feel fully involved in the experience. This study will employ a quantitative methodology, utilising a questionnaire that will be distributed to and completed by those who have engaged in augmented reality (AR) games. The data will be analysed using Smart PLS to examine the impact of user experience on immersion, which in turn influences intention. After gathering over 200 participants by spreading google form questionnaires and doing data analysis, the findings indicate that only a few aspects of user experience, namely Brand Experience and User Need Experience, have an impact on reasons. Niantic, the developer of Pokémon Go, was unable to replicate their success with a similar augmented reality game called Harry Potter: Wizards Unite. The initial release occurred on June 21, 2019, and the shutdown took place on December 21, 2021. In the beginning, they shown a profound enthusiasm for the game but were unable to sustain it, much as Pokémon Go. According to Niantic CEO John Hanke, the primary reason for the game's shutdown was its immersion. Immersion has a notable impact on User Confirmation, which in turn has a notable impact on Satisfaction, and Satisfaction has a notable impact on Intention. Moreover, there have be

关键词： Surveys Industries Data analysis Games Companies User experience Software Hardware Internet Augmented reality

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