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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

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Investigation of Augmented Reality in the Agriculture Industry and Its Future 11th

Investigation of Augmented Reality in the Agriculture Indust...

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11th international conference on Intelligent Computing and Applications, ICRTC 2023

作者： Pavithra, K. Geetha, A. Department of Computer Science and Engineering Alliance University Bengaluru India Alliance College of Engineering and Design Alliance University Bengaluru India

ISBN: (纸本)9789819717231

the technology of augmented reality (AR) has the potential to boost overall productivity in the agricultural sector. It can be used with other technologies including robotic machinery, artificial intelligence (AI), the Internet of things (IoT), predictive analytics, and precision algorithms. Along with the growing food demand, several microeconomic factors are anticipated to encourage the spread of AR in the agricultural sector. New farmers can now receive creative and safer teaching using augmented reality technology. Young farmers can learn about potential mishaps and mitigate future risks as a result of being electronically exposed to agricultural machinery. Given the facts, it is plausible to assume that augmented reality (AR) technologies are still in use. It has been reasonable to assume that AR technology is still being developed and is not yet sufficiently advanced for agricultural applications. However, there is a significant chance that it will be a big success. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Augmented reality

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Analysing the Psychological Condition of Pilots through computer aided Graphology 11

Analysing the Psychological Condition of Pilots Through Comp...

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11th international conference on Cloud Computing, Data Science and Engineering (Confluence)

作者： Bhardwaj, Arnav Sharma, Shilpi Amity Univ Sec 125 Noida 201301 Uttar Pradesh India

ISBN: (纸本)9781665414517

Graphology is the science of reading and analysing handwriting to detect the personality traits of a person. We have incorporated the concept of graphology with the use of computer systems, making the process of analysis faster, more reliable and cost efficient. this paper focuses on the use of computer aided graphology in the field of aviation where the pilots are checked before the flight to determine whether they are psychologically/mentally fit to fly the plane. there have been various cases in the past where the pilots had crashed the plane due to depression, stress, tension, fatigue, lack of sleep or intoxication. All of these can be majorly detected by graphological analysis as shown in this paper to prevent any such casualties.

关键词： Graphology computer aided Graphology Suicide Crash Pilot Intoxication Pilot Fatigue

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Blockchain's Transformative Role in Modernizing the Business Sector 11

Blockchain's Transformative Role in Modernizing the Business...

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11th international conference on Intelligent Systems and Embedded design, ISED 2023

作者： Chauhan, Sanjay Singh Bisht, Deepa Ali, Farman Kumar, Rakesh Chanti, Yerrolla Uttaranchal Institute of Management Uttaranchal University Dehradun India School of Computer Science and Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798350318159

Blockchain technology has dominated research as well as fascinating new business applications. this is because they have the practical ability to address several problems that are now impeding further development in various industrial fields. Creating automated and effective supply chain operations, improving transparency throughout the entire value chain, and securely storing and sharing transactional data are few examples of these issues. Blockchain provides a practical solution to these problems by utilizing distributed, shared, secure, and permissioned transactional ledgers. By enhancing security, efficiency, increasing traceability, transparency, and lowering costs. Blockchain technologies are used in numerous industrial applications. this paper analyses how blockchain technology benefits numerous sectors. Based on the study, it has been determined that blockchain technology aids in real-time data-based risk management, better auditing, cost reduction, and transparency in trade finance. © 2023 IEEE.

关键词： Transparency

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Application of BIM Technology in Building Water Supply and Drainage Network Security Monitoring Engineering 11th

Application of BIM Technology in Building Water Supply and D...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Liu, Hui WHUT Design & Research Institute CO. LTD Hubei Wuhan China

With the acceleration of urbanization, we are paying more and more attention to the safety and reliability of building water supply and drainage systems. Faced with various limitations of traditional monitoring methods, such as insufficient real-time performance and difficulties in data collection, we propose a new solution that combines BIM (Building Information Modeling) technology and the Internet of things. this system not only enables real-time monitoring, but also quickly addresses security risks, greatly improving management efficiency and system security. In terms of system stability, the standard deviation of water pressure based on BIM technology is 1.1 kPa and the standard deviation of water flow rate is 0.2 L/s. Moreover, the building water supply and drainage network security monitoring project based on BIM technology can quickly and accurately respond to various security incidents. From the data conclusion, it can be seen that the system based on BIM technology has efficient, accurate, stable, and secure monitoring capabilities. © 2024 the Authors. Published by Elsevier B.V.

关键词： Drainage

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design of Abnormal Behavior Detection System Based on Multimodal Fusion 11th

Design of Abnormal Behavior Detection System Based on Multim...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Niu, Xiaoting Zheng, Guanghai School of Software Dalian Jiaotong University Dalian China

the application of intelligent video surveillance systems can reduce the workload of staff, save human resources, and timely handle abnormal situations, reducing losses. Abnormal behavior detection based on multimodal fusion is a key part of intelligent video surveillance systems and a hot research topic in the field of pattern recognition. Its application prospects are very broad. Firstly, the dual stream residual convolutional neural network was studied. Based on the convolutional neural network model, the dual stream convolutional neural network model and residual convolutional neural network model were studied;then, research the overall solution and related technologies, based on the multimodal fusion process, and study techniques such as RGB images, optical flow images, and bone images;Finally, the Resnet34 model was used for training and simulation, and the simulation results showed that the Resnet34 model has superiority. Applying deep residual structures to dual stream CNN has better recognition performance. © 2024 the Authors. Published by Elsevier B.V.

关键词： Optical flows

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Detecting design Patterns in Android Applications with CodeBERT Embeddings and CK Metrics 11th

Detecting Design Patterns in Android Applications with Cod...

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11th international conference on Analysis of Images, Social Networks and Texts, AIST 2023

作者： Dlamini, Gcinizwe Ahmad, Usman Kharkrang, Lionel Randall Ivanov, Vladimir Innopolis University Innopolis Russia

ISBN: (纸本)9783031545337

As the software codebase increases and the complexity of software increases software developers tend to use simplified tested solutions such as design patterns. these design patterns in most cases tend to be transformed into clients’ requirements documents. Having large software increases the difficulty of understanding the overall architectural design of the overall application. With a speedily growing application of natural language processing (NLP) to source code understanding, in this paper, we propose an approach for detecting design patterns in the Android development domain. Our approach combines source code embeddings together with source code metrics to detect Android applications’ architectural design patterns namely model view controller (MVC), model view presenter (MVP), and model-view-view model (MVVM). We also detect if a design pattern is missing from a project. Our proposed approach was evaluated on a standard publicly available benchmark dataset retrieved from Github. the results showed that incorporating CodeBERT embeddings together with CK metrics improves classification performance. In addition, we compare our proposed approach results with the current state-of-the-art. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Embeddings

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Evaluating the Impact on Usability and Acceptance of ECAs in m-Health Applications for Older Adults 11

Evaluating the Impact on Usability and Acceptance of ECAs in...

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11th international conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2025

作者： Gilaberte, Raquel Lacuesta Bagdasari, Eva Cerezo Navarro-Alamán, Javier EUPT Universidad de Zaragoza Spain EINA Universidad de Zaragoza Spain Department of Computer Science and Engineering of Systems EUPT Universidad de Zaragoza Spain

ISBN: (纸本)9789897587436

In the context of m-health applications, developing user-friendly interfaces to improve usability and acceptance by older adults has become a prominent research topic. the use of embodied conversational agents (ECAs) seems promising as they allow interacting through natural verbal and nonverbal communication. However, analyses about the design and acceptance of embodied conversational agents embedded in m-health applications for older adults are needed. In this paper, we present a study carried out to analyse the usability and acceptance of ECAs interfaces in m-health applications, compared to traditional tactile text interfaces. the study carried out has involved 23 users over 65 years old with promising results. the ECA interface was positively assessed and its acceptance increased compared to the traditional one, but although the feelings arisen are positive, users still claim for less complexity and a more careful design. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Avatars ECAs m-Health Older Adults

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Scalability and Performance Evaluation of Machine Learning Techniques in High-Volume Social Media Data Analysis 11

Scalability and Performance Evaluation of Machine Learning T...

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11th international conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Yogi, Kottala Sri Dankan Gowda, V. Mouna, K.M. Sujithra, L.R. Prasad, K.D.V. Midhun, P. Symbiosis Institute of Business Management Hyderabad Symbiosis International University Department of Operations Pune India Bms Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India Bgs Institute of Technology/ACU B G Nagara Department of Electronics & Communication Engineering Karnataka Mandya India Dr.N.G.P.Institute of Technology Department of Computer Science and Engineering Tamilnadu Coimbatore India Hyderabad Pune India Department of Electronics & Communication Engineering Andhra Pradesh Tirupati India

ISBN: (纸本)9798350350357

In the modern era of digital communication, social media platforms are data factories and hence provide a new set of opportunities as well as challenges before the analysts. the objective of this paper is to evaluate the scalability and performance of various ML algorithms for social media data analysis in practice with high-volume datasets. the objective is to design ML algorithms that are scalable and achieve high accuracy when used with big datasets. In a literature survey, observed gaps in the present research advancements toward scalability and performance analysis for various ML techniques used for this intent. To make sure of diversity and size, we collected a big source from different social networks. the approach we did involve assessing a number of ML methods that are widely known like natural language processing (NLP), sentiment analysis (SA) and predictive analytics on scalability factors such as time to process and resource utilization while also considering performance metrics such as accuracy precision recall rate f1 score. the results demonstrate significant differences in the scalability of investigated approaches and their quality, such as some algorithms being more efficient or accurate at a large scale. this research adds value to the existing works in this area, by performing a detailed comparative study of ML techniques for large-scale social media data processing considering scalability vs performance tradeoffs. the findings are informative, for the research and practice community, on selection of suitable ML techniques that will be applicable to social media analytics;scalability is an important factor in this era dominated by big data. In future research, more advanced techniques and hybrids should be taken into account to enhance the scalability and performance of social media data analysis. © 2024 IEEE.

关键词： Scalability

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Dropout Prediction in MOOC Combining Behavioral Sequence Characteristics 11th

Dropout Prediction in MOOC Combining Behavioral Sequence Cha...

引用

11th and 12th EAI international conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022

作者： Ma, Xiaoxuan Huang, Huan Yuan, Shuai Hou, Rui School of Computer Science South-Central University for Nationalities Wuhan China School of Education South-Central University for Nationalities Wuhan China School of Computer Hubei University of Euducation Wuhan China

ISBN: (纸本)9783031336133

In the past decade, online education platforms led by MOOC have developed rapidly around the world, bringing great changes to the education industry. MOOC aim to provide high-quality, free and open courses for global learners. However, different from the traditional classroom education, MOOC suffers from a significant high dropout rate due to its online mode. In previous studies, researchers mostly use some well-designed features by handcraft. Such methods can be time-consuming and complicated. In this paper, we combine the unsupervised algorithm with machine learning algorithm to solve the problem of dropout prediction in MOOC. Our model use the sub-sequences identified in the participant’s behavior sequence as features, which simplifies the complexity of the features design. And a large number of experiments have been carried out on a public datasets, the experimental results show that the performance of the proposed method can be compared with the method using the high-dimensional and complex features used by other researchers. © 2023, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Forecasting

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Exploration of Brand Visual Communication Innovation design Method Based on AIGC Technology 11th

Exploration of Brand Visual Communication Innovation Design ...

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Chen, Tiantian Pang, Bingnan Ma, Chuhua Shao, Wenwen Animation and Digital Creative College Hainan College of Software Technology Qionghai China

this paper discusses the innovative application and challenges of generative artificial intelligence technology (AIGC) in brand visual communication and creative design of advertisements. AIGC has subverted the traditional communication method by virtue of its high efficiency and intelligence, realizing personalized customization and precise push ads, effectively improving the conversion effect and saving costs, and enhancing the brand's rapid response to the market and the efficiency of creative output. At the same time, this technology can promote the digitalization and intelligence of the advertising industry by tapping into big data resources. Accompanied by issues such as data security, privacy protection, talent shortage, creative quality control, brand image maintenance and regulatory adaptability, the industry needs to strengthen data security protection, cultivate cross-discipline AIGC technology and design talents, and establish a rigorous content audit system, so as to inject a strong impetus for brand visual innovation and design, and lead the brand visual communication and advertising creative design into a new stage of AI empowerment. © 2024 the Authors. Published by Elsevier B.V.

关键词： Marketing

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