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检索条件"任意字段=2015 2nd International Conference on Engineering Technology and Application"

共 27583 条记录，以下是91-100 订阅

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Improvement of Quality Control in Retail-Type Works Through the application of the BIM-LC Work Model 2nd

Improvement of Quality Control in Retail-Type Works Through ...

引用

2nd international Civil engineering and Architecture conference (CEAC)

作者： Victoria Fiorella, Jesus Robles Ana Julio Enrique, Farje Mallqui Univ Peruana Ciencias Aplicadas UPC Lima Peru

ISBN: (纸本)9789811942938;9789811942921

The essence of this research is the development of a working model in which two fundamental tools that control the quality of a finished product are brought together. In this case, the synergy is between the BIM methodology and the Lean Construction philosophy, which will be applied together to improve the quality control of the finished product of a retail construction project. Retail projects which are large investment projects, for which the owners demand high quality in the final product. The work model proposed in this study aims to solve the problem of customer dissatisfaction or dissatisfaction with the final product of a retail construction project. The disagreement on the part of the end user is mainly due to poor quality control during all stages of the project. Based on academic articles and previous studies, a procedurewill be proposed in which both the Lean Construction tools are applied, as well as the technology offered by the BIM methodology. Study cases, national and international projects in which this synergy has been applied will be studied and analyzed. Finally, the procedure will be validated by approval of an expert judgment;In other words, BIM managers, engineers, and architects with experience in the application of this synergy, will include their observations, proposals for improvement and recommendations that they contribute to the present investigation.

关键词： Retail project QA BIM Lean construction Final product

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The Development of CNN-Based Food Scanning Model for Calorie Analysis: A Tool for Promoting Healthier Dietary Choices 2

The Development of CNN-Based Food Scanning Model for Calorie...

引用

2nd international conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

作者： Sahoo, Adarsh Kumar Mishra, Nilamadhab School of Computing Science and Engineering Vit Bhopal University Madhya Pradesh India

ISBN: (纸本)9798350370188

The rising incidence of bad food patterns and accompanying health problems requires the creation of novel strategies to promote improved eating habits. This study paper describes the creation of a food scanning application for calorie analysis, which will be a useful tool for anyone looking to make informed dietary choices. To precisely estimate the calorie value of various food items, the application employs picture recognition technology, and a large food database. The paper describes the design and development process, which includes data gathering, image recognition algorithms, and application integration with existing nutritional datasets. Our research also analyzes the potential influence of such a tool on public health, emphasizing its role in raising awareness, facilitating self-monitoring, and supporting healthier eating choices. The findings show that technology could influence beneficial lifestyle choices and improve overall well-being. © 2024 IEEE.

关键词： Image recognition

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Enabling Secure Data Aggregation Scheme for Smart Grids based on Local Differential Privacy 24

Enabling Secure Data Aggregation Scheme for Smart Grids base...

引用

2nd international conference on Electronics, Computers and Communication technology, CECCT 2024

作者： He, Yixuan Mei, Lin Liu, Jianghua Xu, Lei Xu, Chungen School of Mathematics and Statistics Nanjing University of Science and Technology Jiangsu Nanjing China School of Computer Science and Engineering Nanjing University of Science and Technology Jiangsu Nanjing China

ISBN: (纸本)9798400710193

Existing data aggregation schemes for privacy protection in smart grids face limitations in efficiency and application, often relying on trusted third parties or incurring significant overhead. To address these issues, this paper introduces a multidimensional and multisubset data aggregation scheme leveraging local differential privacy, aimed at enabling fine-grained data analysis while safeguarding privacy. The scheme effectively protects user privacy by locally perturbing data from randomly selected dimensions while utilizing the Chinese Remainder Theorem to compress multidimensional data, thereby optimizing the transmission. Theoretical and experimental results demonstrate that our scheme offers strong privacy, flexibility, and utility, achieving a relative error of aggregation results no more than 0.05 under optimal conditions. Additionally, it outperforms existing approaches in terms of both computational and communication overhead. © 2024 Copyright held by the owner/author(s).

关键词： Differential privacy

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Exploration of Software Field Engineer Training Based on AI+Capability Model 24

Exploration of Software Field Engineer Training Based on AI+...

引用

2nd international conference on Advances in Artificial Intelligence and applications, AAIA 2024

作者： Zhou, Junjie Wu, Qian School of Information Wuhan Software Engineering Vocational College Wuhan Open University Hubei Wuhan China School of Computer Science Wuhan University Hubei Wuhan China Hubei Engineering Research Center for Intelligent Detection and Identification of Complex Parts Wuhan China

ISBN: (纸本)9798400712883

With the rapid development of artificial intelligence technology, its application in the field of education and teaching is becoming increasingly widespread, bringing revolutionary changes to traditional education models. To cultivate high-quality software vocational skills talents, a digital management platform based on AI+capability model is constructed to explore the innovative application of artificial intelligence in education and teaching, realizing intelligent auxiliary learning functions such as personalized resource recommendation, student growth monitoring, and achievement label portrait. At the same time, a series of intelligent teaching tools such as"AI+Code Generation, AI+Inspection Assistant, AI+Process Map" will be developed to explore and promote the vertical application of big models in talent cultivation. Through innovative models such as"introducing enterprises into education, cultivating students through real-life situations, AI+empowerment, teaching according to students’ aptitude, trinity, innovative training, strengthening processes, and diverse evaluations", it has been fully applied to the talent training scene of software technology field engineers, and its teaching effectiveness is significant. © 2024 Copyright held by the owner/author(s).

关键词： Students

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Leveraging AI for Superior Corrosion Resistance in Industrial application 2

Leveraging AI for Superior Corrosion Resistance in Industria...

引用

2nd international conference on Computer Vision and Intelligent technology

作者： Li, Zhenxi Liu, Shixian Wei, Xinqian Liu, Jinlong Hou, Yian Hebei Baisha Tobacco Co LTD Shijiazhuang Hebei Peoples R China

ISBN: (纸本)9798331540050;9798331540043

In the highly competitive cigarette manufacturing industry, adhesive systems are crucial yet vulnerable components often exposed to corrosive environments, leading to rapid material degradation and increased maintenance costs. This study leverages machine learning to accelerate the development of novel corrosion-resistant alloys tailored for these harsh operational conditions. By employing an an explainable random forest algorithm, we optimized alloy compositions to maximize corrosion resistance while maintaining mechanical integrity. Comprehensive electrochemical testing and real-world simulations demonstrated that the newly developed alloys outperform traditional materials, particularly in chloride-rich and fluctuating pH environments. Our findings highlight the transformative potential of AI-driven material design in enhancing the efficiency, durability, and cost-effectiveness of industrial machinery, setting a new benchmark for integrating intelligent technologies in material science. This research not only extends the lifespan of critical machine components but also paves the way for future innovations in smart manufacturing systems.

关键词： Machine learning for industrial engineering random forest corrosion-resistant alloys smart manufacturing

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Vision-Based Hand Gesture Recognition System for Assistive Communication Using Neural Networks and GSM Integration 2

Vision-Based Hand Gesture Recognition System for Assistive C...

引用

2nd international conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Singhal, Pooja Verma, Sonia Gupta, Ritu Kumar, Rishi Arya, Rajneesh Kumar Department of Computer Science ABES Engineering College Uttar Pradesh Ghaziabad India Department of Computer Science Bhagwan Parshuram of Institute and Technology GGSIPU Delhi India Dehradun India

ISBN: (纸本)9798331530389

This paper explores the application of vision-based hand gesture recognition in addressing communication challenges faced by deaf and dumb individuals within the realm of human-computer interaction (HCI). Highlighting the barriers posed by conventional communication methods and sign language interpretation, the paper introduces the Dumb Aid Phone system as an innovative solution. This system, functioning as an interface, enables seamless interaction for non-speaking individuals with their surroundings. Utilizing image processing and neural networking, the system captures and interprets hand gestures, matching them with a database to generate corresponding speech sounds. Enhanced by a web camera and a GSM module, the Dumb Aid Phone system not only facilitates effective communication but also holds the potential to revolutionize accessibility, contributing to a more inclusive society for the deaf and dumb community. © 2025 IEEE.

关键词： Gesture recognition

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Video Stablelization Based on Grid Wariping and Moving Gaussian Filter 2

Video Stablelization Based on Grid Wariping and Moving Gauss...

引用

2nd IEEE international conference on Control, Electronics and Computer technology, ICCECT 2024

作者： Jianwei, Lai School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350380958

In this article, we propose a method for video stabilization that utilizes grid-based motion extraction and temporal moving Gaussian filtering for smoothing motion. The method determines the parameters for multiple homography estimations using optical flow estimation. Compared to previous methods, it allows for timely adjustment of smoothness and simplifies computational complexity. In experiments, our method is compared with existing 2D and 3D video stabilization techniques. The results indicate that our method approaches the stabilization effectiveness of 2D methods while significantly reducing the computational complexity compared to 3D methods. Furthermore, we find that by fine-tuning parameters such as covariance filtering, homography plane estimation, and the number of motion smoothing iterations, we can further optimize our method to suit various application scenarios. © 2024 IEEE.

关键词： Optical flows

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The application of Intelligent Sorting Equipment in Warehouse Logistics 2

The Application of Intelligent Sorting Equipment in Warehous...

引用

2nd international conference on Mechanical engineering and Power engineering (MEPE)

作者： Zhai, Chenggong Li, Yan Fu, Hong Wei Xu, Hongsi Zhou, Liyong Yao, Wenke Army Logist Acad Dept Quartermaster Procurement Chongqing Peoples R China Army Logist Acad Dept Mil Logist Chongqing Peoples R China

ISBN: (纸本)9798350359459;9798350359466

With the development of information technology and the Internet of Things technology, intelligent sorting equipment has become an indispensable part of the modern warehousing and logistics industry. The application of intelligent sorting equipment has greatly improved the efficiency and accuracy of warehousing logistics, saved a lot of manpower and time costs for enterprises, and improved user satisfaction. Intelligent sorting equipment plays an important role in modern warehousing and logistics, as it can improve warehousing efficiency, reduce labor costs, reduce error rates, and improve sorting accuracy and speed. By utilizing advanced technologies such as machine vision, LiDAR, sensors, and automatic navigation systems, intelligent sorting equipment can quickly and accurately identify goods and achieve automated sorting and handling. In addition, intelligent sorting equipment can also achieve intelligent storage and pickup of goods, making warehousing and logistics more intelligent, efficient, and convenient. This article will provide a detailed introduction to the application of intelligent sorting equipment in warehousing and logistics.

关键词： intelligent sorting equipment warehousing logistics automation intelligent storage intelligent pickup

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A Comprehensive Review of Machine Learning application Across Different Domains 2

A Comprehensive Review of Machine Learning Application Acros...

引用

2nd international conference on Disruptive Technologies, ICDT 2024

作者： Joshi, Praveen Kumar Prakash, Rahul Rai, Arun Kumar Graphic Era Hill University School of Computing Department Bhimtal India National Institute of Technology Department of Electronics Engineering Uttarakhand Srinagar India Sharda University School of Applications Department Greater Noida India

ISBN: (纸本)9798350371055

Industry and researchers are adapting machine learning techniques in wider domain. There are numerous fields which are actively adopting the machine learning as a powerful tool for automation. This paper discusses machine learning relevance and application in financial market, cloud computing, medical and healthcare, bioinformatics, tourism, agriculture and in manufacturing. Analysis of sleep episodes though ML has been also covered. Through the review of all these papers the application of ML as most demanded tool and skill has been highlighted and complete integration of machine learning for solving problems of different domains has been discussed. © 2024 IEEE.

关键词： E-Healthcare IoT K-mean clustering Reinforcement learning Supervised learning SVM Unsupervised learning

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Fracture Parameters Inversion of Hydraulic Fracturing Based on Deep Learning Neural Network 24

Fracture Parameters Inversion of Hydraulic Fracturing Based ...

引用

2nd international conference on Advances in Artificial Intelligence and applications, AAIA 2024

作者： Jiang, Yufeng Zou, Xianxiong Ge, Dongsheng Wan, Hongchun Gu, Chenyang Wei, Hangxin Shanghai Engineering and Technology Branch Energy Development Co. LTD CNOOC Shanghai Shanghai China College of Mechanical Engineering Xian Shiyou University Shanxi province Xi’an city China

ISBN: (纸本)9798400712883

In the design of backflow scheme after hydraulic fracturing, the fracture size of length, width and height are needed. However, these parameters are difficult to obtain. Therefore, a fracture parameter inversion method is proposed. For this method, the deep learning neural network is used. Firstly, the basic principle of fracture parameter inversion is introduced. Then the structure of deep learning neural network is discussed. It is based on the Alexnet network, which has 5 convolutional layers, 3 pooling layers, and 3 fully connected layers. In this paper, a method is proposed to convert one-dimensional data into two-dimensional image for neural network training. And the testing precision of neural network is defined. Finally, the simulation results show that the training loss is 0.001, and the testing precision is 0.95. The research of this paper is the application of the intelligent technology to the oil and gas industry. © 2024 held by the owner/author(s).

关键词： Gas industry

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