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7th International Conference on Image Information Processing, ICIIP 2023

作者： Mehra, Ankush Singh, Gurpreet Badotra, Sumit Kaur, Balwinder Verma, Amit Lovely Professional University Department of Computer Science And Engineering Punjab Phagwara India Bennett University School of Computer Science Engineering And Technology Greater Noida India University Center For Research And Development Chandigarh University Department of Computer Science And Engineering Mohali Gharuan India

ISBN: (纸本)9798350371406

An Internet server, service, or network may be the subject of a distributed denial-of-service (DDoS) assault, in which the attacker attempts to interrupt regular traffic by flooding the target with an excessive amount of data requests. Network security has been severely compromised as a result. We choose the vast majority of network parameters to characterize the traffic in order to get a complete picture of it. As a further step toward lowering the detection time complexity, we employ the PCA approach to compress the features' dimensions. Using principal component analysis (PCA), we can save much of the original data while drastically cutting down on forecast time. After data dimensionality reduction, the RNN is used to train and get a detection model. In comparison to other approaches for detecting DDoS assaults, PCA-RNN performs much better on the real-world dataset, as shown by the evaluation results. © 2023 IEEE.

关键词： Principal component analysis

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Vegetable Oil-Based Nanolubricants in Machining:From Physicochemical Properties to Application

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Chinese Journal of Mechanical Engineering 2023年第4期36卷 4-42页

作者： Xiaotian Zhang Changhe Li Zongming Zhou Bo Liu Yanbin Zhang Min Yang Teng Gao Mingzheng Liu Naiqing Zhang Zafar Said Shubham Sharma Hafiz Muhammad Ali School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao 266520China Hanergy(Qingdao)Lubrication Technology Co. Ltd.Qingdao 266200China Sichuan Future Aerospace Industry LLC. Shifang 618400China Shanghai Jinzhao Energy Saving Technology Co. Ltd.Shanghai 200436China Department of Sustainable and Renewable Energy Engineering University of Sharjah27272 SharjahUnited Arab Emirates Department of Mechanical Engineering and Advanced Materials Science Regional Center for Extension and DevelopmentCouncil of Scientific and Industrial Research(CSIR)-Central Leather Research Institute(CLRI)Jalandhar 144021India Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Cutting fluid is crucial in ensuring surface quality and machining accuracy during ***,traditional mineral oil-based cutting fluids no longer meet modern machining’s health and environmental protection *** a renewable,pollution-free alternative with excellent processing characteristics,vegetable oil has become an inevitable ***,vegetable oil lacks oxidation stability,extreme pressure,and antiwear proper-ties,which are essential for machining *** physicochemical characteristics of vegetable oils and the improved methods’application mechanism are not fully *** study aims to investigate the effects of viscosity,surface tension,and molecular structure of vegetable oil on cooling and lubricating *** mechanisms of autoxidation and high-temperature oxidation based on the molecular structure of vegetable oil are also *** study further investigates the application mechanism and performance of chemical modification and antioxidant *** study shows that the propionic ester of methyl hydroxy-oleate obtained by epoxidation has an initial oxidation temperature of 175℃.The application mechanism and extreme pressure performance of conventional extreme pressure additives and nanoparticle additives were also investigated to solve the problem of insufficient oxidation resistance and extreme pressure performance of nanobiological ***,the study discusses the future prospects of vegetable oil for chemical modification and nanoparticle *** study provides theoretical guidance and technical support for the industrial application and scientific research of vegetable oil in the field of lubrication and *** is expected to promote sustainable development in the manufacturing industry.

关键词： Cutting fluid Vegetable oil Chemical modification Antioxidant Extreme pressure additive Minimum quality lubrication

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Challenges and Solutions for Seismic Amplitude Pitfalls in Dim Spot: Case Study from the Shaximiao Formation of Tight Sandstone Gas Reservoirs, the Western Sichuan Depression, China

SSRN

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SSRN 2024年

作者： Tan, Feng Yang, Ping Cao, Jun-Xing Li, Le Cui, Zhihua Ma, Qian Research and Development Center BGP CNPC Zhuozhou072751 China State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Chengdu University of Technology Chengdu610059 China School of Civil and Transport Engineering Ningbo University of Technology Ningbo Zhejiang315211 China Exploration and Development Research Institute of Southwest Oil & Gasfield Company PetroChina Chengdu610041 China

Dim spot reservoirs were once thought to be as abundant as bright spots and were widely distributed in major oil and gas basins. The presence of seismic amplitude pitfalls results in the number of identified dim spots being far fewer than bright spots. In this study, we first discuss the challenges of identifying dim spot sandstone in the tight gas formations of the Shaximiao Group in the Western Sichuan Depression and then propose two solutions to help improve detection capacity. The primary challenge arises when the reflection coefficient curve crosses the zero axis with increasing incident angles, leading to a "positive-negative interference" that weakens the stacked amplitude. For that, we explore using AVO forward modelling to understand the phenomena of being "hidden" on PP waves and not so "dark" on PS waves. Based on this understanding, we propose using a preferred angle domain stacking method on PP waves and a direct identification method on PS waves. Practical applications in the Zhongjiang and Zitong areas demonstrate the effectiveness of the solutions in identifying hidden channel sandstone reservoirs. We suggest adapting these methods to discover more dim spot reservoirs in other areas, especially in tight reservoirs. © 2024, The Authors. All rights reserved.

关键词： Shear waves

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A Real-Time Tourism Route Recommendation System Based on Multitime Scale Constraints

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Mobile Information Systems 2023年第1期2023卷

作者： Song, Yongmei Jiao, Xuelian School of Management Xi'An University of Science and Technology Shaanxi Xi'an710054 China Research Center for Western Tourism Development Xi'An University of Science and Technology Shaanxi Xi'an710054 China

In order to increase the capability of real-time intelligent recommendation of tourists' information on cross-regional city-level tourist routes with epidemic normalization, a real-time intelligent recommendation algorithm for cross-regional city-level tourist routes with epidemic normalization based on multi-time scale constraints is proposed. Under the training of limited samples, the tourist correlation model of the epidemic normalization of cross-regional city-level tourist routes is created. In addition, two kernel functions i.e. the mixed and the global are assembled to excerpt the correspondence features of the epidemic normalization cross-regional city-level tourist route recommendation information. As a result, the well-known particle swarm optimization (PSO) procedure and algorithm with multitime scale constraints are adopted to carry out the adaptive learning of the epidemic normalization cross-regional city-level tourist route recommendation, and the convergence control of the recommended method is comprehended through mining the geographic information data sets of cities. This paper analyzes the universality and ergodicity of tourists' personal interest preferences and social characteristics in urban tourism and combines a gradient algorithm to carry out particle swarm evolution and self-adaptive optimization for the recommendation of cross-regional city-level tourist routes with a normalized epidemic situation, so as to realize the group real-time intelligent recommendation of tourists' information on cross-regional city-level tourist routes with the normalized epidemic situation. The model outcomes indicate that the exactitude and precision of cross-regional city-level tourism route information recommendation with this algorithm are decent, and the convergence of the swarm intelligence optimization (SIO) problem is robust, which can circumvent dipping into the local optimal solution in the process of real-time intelligent recommendation of tourism rou

关键词： Particle swarm optimization (PSO)

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Drivers of the Sustainability Performance of Induction Stove Conversion Program in Indonesia

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International Journal of Sustainable Energy Planning and Management 2025年 43卷 5-30页

作者： Damayanti, Retno Wulan Safira, Silvia Dhea Laksono, Pringgo Widyo Setiadi, Haryono Entifar, Nisa Aqilla Ellenahaya Industrial Engineering Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Center of Technology Development and Industrial Collaboration Institute for Research and Community Service Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Informatics and Science Data Study Program Sebelas Maret University Ir.Sutami 36A Surakarta57121 – 57162 Indonesia Smart Green Technology Engineering Department Pukyong National University 45 Yongso-ro Nam-Gu Busan Korea Republic of

In 2022, Indonesia initiated a pilot project to transition from liquid petroleum gas (LPG) stoves to induction stoves, targeting 8.2 million households by 2025. While LPG is considered a clean cooking fuel by the World Health Organization due to its low PM2.5 emissions, this program aims to further reduce CO2 emissions from cooking activities, aligning with Indonesia’s clean energy transition and 2060 Net Zero Emission goals. Throughout the program, doubts and criticisms arose among various sectors of society, particularly concerning the sustainability of this program. This research aims to determine and analyze the driving factors that support the sustainability of the induction stove transition program. Five sustainability aspects, namely, economic, social, environmental, technical, and institutional, were analyzed. A total of 315 Indonesian citizens participated as respondents in this research survey. The Partial Least Squares-Structural Equation Model (PLS–SEM) method was utilized as the analytical approach for the study. The results revealed that nine factors significantly influenced program sustainability, with the strongest impacts from technology costs (path coefficient = 0.859), contextual factors (0.803), electrical infrastructure (0.792), and community perception (0.773). Economic sustainability was driven by technology costs and business opportunities (0.643), while environmental sustainability was strongly influenced by electrical infrastructure. Post-installation support (0.307) and financial management (0.391) significantly impacted technical and institutional sustainability respectively. These empirical findings improve previous research on the sustainability of an energy transition program, which provides insights for researchers and stakeholders in the energy management field, especially in developing countries, for policy determination and decision-making. © 2025, Aalborg University Press. All rights reserved.

关键词： Clean energy

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Investigating the Effectiveness of Dynamic Content in Mobile Advertising 15

Investigating the Effectiveness of Dynamic Content in Mobile...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rampal, Sourav Ranganathaswamy, M.K. Tamkhade, Jayashree Vijayalakshmi, V.J. Marwaha, Pradeep Hariharasudhan, S. Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Karnataka Bangalore India Vishwakarma Institute of Technology Pune India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology Chennai127 India

ISBN: (纸本)9798350370249

Dynamic content material is a rising shape of cell marketing, which is meant to decorate consumer engagement and improve marketing campaign effectiveness by taking full advantage of the cellular tool's native skills. In this observation, we inspect the effectiveness of dynamic content material in cell marketing by means of comparing it to extra conventional strategies, together with static banners, in addition to other forms of cellular-unique advertising. Our studies are comprised of a complete evaluation of existing literature, together with empirical statistics derived from surveys, interviews, and relevant case research. We recall the impact of different factors on marketing campaign overall performance, which includes tool attributes, ad shipping method, person interaction, and consumer conduct. Moreover, we explore more than a few famous marketing strategies, inclusive of retargeting and interactive commercials, and their effect on campaign achievement. We finish by supplying insights and guidelines for optimizing cellular advert campaigns and the usage of dynamic content material. © 2024 IEEE.

关键词： Marketing

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A Binary Sparse Uniform Modem System for Resource Allocation in 5G and Beyond Networks 4

A Binary Sparse Uniform Modem System for Resource Allocation...

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4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Saravanan, G. Alfatlawy, Ramy Kaur, Kirtanjot Devi, K. Kavitha Anita Sofia Liz, D.R. Sri Sairam Institute of Technology Department of Electronics and Communication Engineering Chennai India College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq University Centre for Research & Development Chandigarh University Mohali India Srm Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India New Prince Shri Bhavani College of Engineering and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350352931

In this era, resource allocation in 5th Generation (5G) and beyond networks establishes an effective, dynamic and intelligent management for resources of networks. However, the traditional Machine Learning (ML) and Deep Learning (DL) approaches exhibit challenges like latency optimization, user mobility and spectrum efficiency for improved network performance. In order to solve these issues, the proposed model utilizes Binary Sparse Uniform Modem (BSUM) for resource allocation. Primarily, the Deep Slice and Secure 5G & Long Term Evolution (LTE) Wireless dataset is used for allocating the resources. Subsequently, the preprocessing technique accompanies Normalization, Scaling and Transformation which helps for aligning feature scales, avoiding from dominant features that leads to equitable and optimized allocation of resources like spectrum and power. Next step involves extraction of features using Deep Convolutional Neural Networks (DCNN) that helps in identification of patterns and relationships and enhancing the scalability. Further, Classification model is incorporated with BSUM for adapting seamless dynamic environment of networks and preliminaries required for resource allocation. The results of the proposed model are superior to the existing models by achieving 35.92 Megabits Per Second (MBPS) and 89.23% Interactivity score. © 2024 IEEE.

关键词： Convolutional neural networks

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A Deep Study on Encroachment Recognition Model through W-S-N and I-O-T 4

A Deep Study on Encroachment Recognition Model through W-S-N...

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4th IEEE International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Dixit, Krishna Kant Singh, Satyendra Kiran, P. Ravi Al-Attabi, Kassem Sinha, Aashna Angadi, Sanjeev Kumar Gla University Department of Electrical Engineering Mathura India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Cmr College of Engineering & Technology Department of Ece India The Islamic University Najaf Iraq Uttaranchal University Divison of Research and Innovation School of Applied and Life Sciences Uttarakhand Dehradun India Nutan College of Engineering and Research Computer Science and Engineering Pune Maharashtra Talegaon Dabhade India

ISBN: (纸本)9798350360165

The burgeoning challenge of Internet of Things (IoT) technology heralds' transformative capability for agriculture, mainly in enhancing the safety and operational performance of huge-scale farmlands. This paper introduces an revolutionary IoT-based framework that synergizes Global System for Mobile Communication (GSM) and Global Positioning System (GPS) modules to forge a whole, actual-time tracking and intrusion detection answer tailored for agricultural domain names. Our proposed framework is designed to address the dual demanding situations of optimizing farm management practices while ensuring robust safety in competition to capacity intrusions. By deploying a network of brand-new sensors across farmlands, our system enables the seamless collection, evaluation, and transmission of essential environmental statistics, thereby enabling farmers to make knowledgeable alternatives all of sudden. Furthermore, the combination of GSM and GPS technology enhances the tool's functionality to without delay alert farmers about unusual sports activities, making sure immediate reaction to protection breaches. The pilot deployment of our framework demonstrates its effectiveness in no longer best substantially improving tracking accuracy however moreover in bolstering the safety of agricultural lands towards unauthorized get right of entry to. © 2024 IEEE.

关键词： Farms

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Calcium aluminate cement blended to bioactive glass and strontium: in vitro and in vivo evaluation studies

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research on Biomedical Engineering 2024年第3-4期40卷 769-780页

作者： dos Santos Gonçalves, Isabela Donda, Giovanni Moreira de Oliveira Filho, Hugo Gutemberg Patino Fernandes, Marina Santos Barbosa, Ana Maria Raniero, Leandro José de Vasconcellos, Luana Marotta Reis de Oliveira, Ivone Regina Characterization and Processing Laboratory of Advanced Materials Institute for Research and Development University of Vale do Paraíba Av. Shishima Hifumi 2911 Urbanova São José dos Campos São Paulo12244-000 Brazil Institute of Science and Technology Paulista State University Av. Engenheiro Francisco José Longo 777 São José dos Campos São Paulo12245-000 Brazil

Purpose: Homogeneous calcium aluminate cement–based (CH) materials hold potential as biomaterials, while bioactive glass (BG-58S) is a promising bone regeneration material with excellent bioactivity. Strontium, known for stimulating bone tissue regeneration, was incorporated into CH-BG-58S blends to enhance bioactivity, osteogenesis, and bone tissue repair. Methods: Blends with only BG-58S were evaluated for viscosity, injectability, and workability. In vitro tests were performed using MG63 cells and in vivo tests utilized blends CH-7.5BG-58S and CH-7.5BG-58S/Sr to fill monocortical critical bone defects. Bactericidal capacity against Escherichia coli and Staphylococcus aureus was also evaluated. The addition of BG to CH increased viscosity, decreased injectability, and improved workability. Results: All blends were non-cytotoxic, and CH-7.5BG-58S and CH-10BG-58S blends exhibited bactericidal capacity against E. coli. Osteogenic activity, confirmed by mineralization nodule formation, was observed in all blends. Histomorphometric and histological analyses revealed bone neoformation, with emphasis on SrO-containing groups, but without statistical significance among groups (p > 0.05). Conclusion: This research highlights the potential of CH-BG-58S blends, particularly those with strontium, as bioactive materials for bone tissue engineering. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering 2024.

关键词： Escherichia coli

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Decoupled knowledge distillation method based on meta-learning

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High-Confidence Computing 2024年第1期4卷 1-6页

作者： Wenqing Du Liting Geng Jianxiong Liu Zhigang Zhao Chunxiao Wang Jidong Huo Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan 250014China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250014China Aerospace Science&Industry Network Information Development Co. LTDBeijing 100854China

With the advancement of deep learning techniques,the number of model parameters has been increasing,leading to significant memory consumption and limits in the deployment of such models in real-time *** reduce the number of model parameters and enhance the generalization capability of neural networks,we propose a method called Decoupled MetaDistil,which involves decoupled *** method utilizes meta-learning to guide the teacher model and dynamically adjusts the knowledge transfer strategy based on feedback from the student model,thereby improving the generalization ***,we introduce a decoupled loss method to explicitly transfer positive sample knowledge and explore the potential of negative samples *** experiments demonstrate the effectiveness of our method.

关键词： Model compression Knowledge distillation Meta-learning Decoupled loss

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