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共 8423 条记录，以下是221-230 订阅

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Ingenious AI Visual Identification 2

Ingenious AI Visual Identification

引用

2nd international conference on Innovative Practices in Technology and Management, ICIPTM 2022

作者： Agarwal, Srajan Reddy, Koya Rohith Chauhan, Yash Hariharan, U. Apex Institute Of Technology Chandigarh University Department Of Computer Science And Engineering Punjab India

ISBN: (纸本)9781665466431

In our software Ingenious AI Visual Identification using facial recognition we're primarily focused on stating the remaining platform for attendance, in which a person can first provide their required non-public information and be enrolled for automatic attendance via our software. As a result, we want to make this system software well-suited for any organization on the route to replacing the old and out-of-date attendance-taking system with our new output. We're essentially that specialize in citing the remaining platform for attendance wherein a man or woman can to begin with feed their required non-public facts and get them enrolled for the Automatic Attendance via our software. There through we have the desire to make this software program well matched for each and every Organization on the way to update the vintage and outdated attendance taking process with our new output. © 2022 IEEE.

关键词： Face recognition

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Limited Resources Usage of Deep-Learning-Based IoT Devices in Healthcare 2

Limited Resources Usage of Deep-Learning-Based IoT Devices i...

引用

2nd international conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Gao, Xian He, Peixiong Zhou, Yi Qin, Xiao Columbus State University Tsys School of Computer Science ColumbusGA United States Auburn University Department of Computer Science and Software Engineering AuburnAL United States

ISBN: (纸本)9798331529529

Deep learning models are widely used in healthcare. Given the large amount of data and the need for real-time processing, running these models on IoT devices is a viable solution. This study examines the impact of deep learning models on the limited resources of IoT devices. We selected three models introduced at the 2023 CVPR conference and executed them on a Raspberry Pi with different dataset sizes to measure CPU utilization, memory utilization, and energy consumption. The results show that for the pruned Yolov5 model, CPU utilization has the strongest positive correlation with energy consumption (5.43 × 10=4 Joules), while memory utilization shows the most significant negative correlation (-4.27 × 10=4 Joules). In the FasterNet-T0 model, dataset size has the strongest positive correlation with energy consumption (2.75 × 10=5 Joules). For the Lite-Mono model, dataset size shows the most significant positive correlation (1.84 × 10=4 Joules), while memory utilization has the strongest negative correlation with energy consumption (- 2.52 × 10=4 Joules). These results highlight the key factors correlated with energy consumption across different models, providing valuable insights for deploying deep learning models on IoT devices. © 2024 IEEE.

关键词： Deep Learning Energy Consumption Hardware Utilization Healthcare IoT

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Digital Process Design and Simulation of Slush Molding Based on Tecnomatix 2

Digital Process Design and Simulation of Slush Molding Based...

引用

2nd international conference on Automation, Robotics and computer engineering, ICARCE 2023

作者： Gao, Qiming Wang, Chenming Gu, Haoran Li, Chuanjiang Gao, Yiyou Qi, Ziming Tom Hefei General Machinery Research Institute Anhui China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China Manukau Institute of Technology New Zealand Maritime School Auckland New Zealand

ISBN: (纸本)9798350308341

In the product development process, manufacturing flexibility requirements continue to increase, and with the emergence and development of digital twin technology, virtual scenes can be created to observe, analyze, and predict data. Compared with traditional models, the risk is lower and the investment cost is lower. The slush molding process is one of the important processes in the production of automotive interiors, and the difficulty of improving the process is particularly prominent. Based on the Tecnomatix Plant Simulation software, this paper digitally designed the slush molding process, built the corresponding simulation model and logic program, and carried out the production scheduling simulation according to the production work order;then used the simulation experiment method to optimize the process parameters, and after comparing the simulated production capacity data with the actual production capacity, the accuracy of the model is verified, and finally, the production capacity prediction under different production requirements can be realized, which can effectively reduce the cost of process improvement. © 2023 IEEE.

关键词： computer software

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A Dental Caries Segmentation Method Based on Dental Bitewings 2

A Dental Caries Segmentation Method Based on Dental Bitewing...

引用

2022 2nd international conference on Health Big Data and Smart Sports, HBDSS 2022

作者： Han, Zhiyuan Yang, Jingyu Wang, Chen Du, Chenxi School of Computer Science and Engineering Beijing Technology and Business University Beijing China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing China

ISBN: (纸本)9783800760428

computer Aided Diagnosis (CAD) has become a hot research field in oral clinic. Due to the similar contrast between caries and periodontal tissues, especially the proximal caries, it is difficult for general CAD methods to accurately detect the location of caries. Aiming at this problem, an image semantic segmentation algorithm based on U-Net and attention mechanism is proposed. First, the dental bitewings dataset was constructed. Second, the CBAM module is integrated into the U-Net network for focusing on caries-affected areas. Finally, the semantic segmentation accuracy is further improved by multi-scale feature fusion. The experimental results show that the model proposed in this paper has significant improvements in multiple performances compared with algorithms such as PSP-Net. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： computer aided diagnosis

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Analysis of SDLC Models with Web engineering Principles 2

Analysis of SDLC Models with Web Engineering Principles

引用

2nd IEEE international conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024

作者： Chahar, Suman Singh, Satyaveer Mullana Ambala India Department of computer science and engineering Mullana Haryana Ambala India

ISBN: (纸本)9798350390179

The dynamism of web technologies and the emergence of advanced and intricate web applications strongly call for the definition of the software development life cycle paradigms from the perspective of web engineering discipline. Hybrid models like Waterfall, V-Model and Iterative Development have been in use for formal software development while recent development methodologies are Agile. Yet, these models need to be assessed and adapted for the web engineering contexts to fit problems that are specific to web application development, for example, rapid development cycles, high user interaction, the need for scalability and constantly shifting security requirements. This paper, introduces five fundamental SDLC models of web engineering, namely the Waterfall model, V-Model, Spiral model, Agile, and DevOps. It also discusses how developments on basic web engineering components such as client-server model, crossplatform Web, rapid prototyping, and continuous deployment map to various phases of the Web SDLC namely requirement analysis, design, construction, testing, and maintenance. Upon reviewing the strengths and weaknesses of each model as applied to web development, this paper introduces a new approach that combines the best elements of Agility and conventional models into a single framework competent for modern web applications. Hence, the paper endeavors to understand how Web engineering can improve on traditional SDLC models with the ultimate vision of presenting an optimal paradigm for web application *** key theme of this paper is the need to adapt SDLC models to meet the need of Web applications that require integration, flexibility, and usability. Web applications meet complex and dynamic requirements;therefore, web engineering principles have to be created as scalable, secure, and dynamically adaptive to multi-plenary devices and platforms, which mandate iterative and adaptive life cycles. Having evaluated how SDLC models address these require

关键词： Life cycle

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Network Flow-Based Dynamic Detection System for Android Adware Using Pre-Trained Models 2

Network Flow-Based Dynamic Detection System for Android Adwa...

引用

2nd international conference on Artificial Intelligence, Human-computer Interaction and Robotics, AIHCIR 2023

作者： Ye, Wei Yin, Wei Tang, Junwei School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

ISBN: (纸本)9798350360363

In recent years, the use of Android devices has become widely prevalent, accompanied by a vast availability of Android applications for download and use. Concurrently, a significant amount of advertising software exists within Android applications, which can cause considerable inconvenience and trouble to users while posing a potential threat to user privacy. Due to the sheer quantity and complexity of advertising software, the current dynamic detection systems for such software suffer from inadequate accuracy. To improve the detection accuracy, we propose NF-BERT, a dynamic Android adware detection system based on network flow using a pre-trained model. Additionally, we have designed a data preprocessing method that redefines missing values based on statistical data to accommodate different scenarios. The system captures the network flow generated by software, applies data preprocessing techniques, and converts it into a language-like format for prediction. As a result, it achieves dynamic detection of Android advertising software. The proposed system demonstrates high accuracy, speed, and good generalization ability. On datasets CIC-AndMaI2017 and CIC-InvesAndMaI2019, our results outperform state-of-the-art dynamic detection methods, achieving an accuracy improvement to 97.05% and an F1 score improvement to 98.30%. © 2023 IEEE.

关键词： Android (operating system)

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Design and Development of a Smart Antenna System for Electromagnetic Compatibility 2

Design and Development of a Smart Antenna System for Electro...

引用

2nd international conference on Artificial Intelligence and Machine Learning Applications, AIMLA 2024

作者： Goyal, Manish Kumar Malathi, H. Choudhary, Binod Kumar Vivekananda Global University Department of Computer Science & Application Jaipur India School of Sciences Department of Biotechnology and Genetics Karnataka Bangalore India ARKA JAIN University Department of Electrical & Electronics Engineering Jharkhand Jamshedpur India

ISBN: (纸本)9798350349221

This technical abstract introduces the design and development of a smart Antenna gadget for Electromagnetic Compatibility (EMC). The clever antenna device pursuits to lessen unwanted interference in wireless verbal exchange systems, and also to locate time Electromagnetic interference (EMI) alerts and optimize running conditions. This antenna gadget is built on both software and hardware systems. Its design relies on the improvement of antenna arrays, which make use of adaptive sign-processing techniques with the intention of reaping the desired EMC necessities. The antenna array, with its signal-processing architecture, gives the possibility of at the same time optimizing radiation samples and electrical parameters by way of electronically scanning the antenna in more than one direction and taking into consideration disturbances in the environment. The layout additionally incorporates an optimized weight matrix that is used to optimize the antenna's signal-processing structure. Subsequently, the advanced system is simulated and evaluated for its overall performance, and the results are compared with theoretical predictions. © 2024 IEEE.

关键词： Antenna arrays

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Design of Legal Judgment Prediction on Knowledge Graph and Deep Learning 2

Design of Legal Judgment Prediction on Knowledge Graph and D...

引用

2nd IEEE international conference on Image Processing and computer Applications, ICIPCA 2024

作者： Liu, Fengyun Anhui Sanlian University New Business Science Department Hefei230001 China

ISBN: (纸本)9798350360240

Legal judgment prediction (LJP) remains a critical task designed through legal artificial intelligence systems. LJP plays a crucial role in predicting judgment results in legal systems. Over the past few years, LJPs have attracted significant attention in Courts in China, given their convenience in optimizing legal processes. This article, therefore, seeks to design a legal judgment prediction system based on knowledge graphs and deep learning. To enhance the designed model's inference speed and prediction accuracy and significantly cut down on memory consumption, this article proposes the design of LJP based on knowledge graphs and deep learning, establishing the importance of using the BERT knowledge distillation system that will reduce the element of resource consumption in the design of the model. In this regard, the designed system will play a critical role in the transfer of knowledge through a systemic process that is efficient and faster than the traditional system. © 2024 IEEE.

关键词： Knowledge graph

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Automatically Categorizing software Technologies 2

Automatically Categorizing Software Technologies

引用

2nd international conference on Digital Futures and Transformative Technologies, ICoDT2 2022

作者： Khan, Suleman Haider Butt, Wasi National University of Sciences and Technology (NUST) College of E&me Department of Computer & Software Engineering Islamabad Pakistan

ISBN: (纸本)9781665498197

The lack of informal language and software technology standard taxonomy makes it impossible to analyze technology trends on forums and other online sites. Researchers have done an in-depth study of the seven top-notch technology tools and proposed a better automated method to classify software technologies. e.g., Witt uses phrases that describe software tech or concept and put back a wide-ranging class that defines it (i. e., IDE). Furthermore, it defines its function (commercial, PHP). By extension, this method can dynamically compile the list using all technologies of a given type. In a same way working of WordNet, WebIsADb, WiBiTaxonomy, and few other tools is also studied by the researchers. Eventually, they compared these classification methodologies and establish that Witt, once used in software jargon, showed healthier results as compared to all other explanations assessed, lacking a conforming diminution in untrue alarm rates. © 2022 IEEE.

关键词： software engineering

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Metamorphic Robustness Testing for DeepL Translation 2

Metamorphic Robustness Testing for DeepL Translation

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2nd international conference on Robotics, Automation and Intelligent Control, ICRAIC 2022

作者： Li, Zilong Xiao, Lei Lin, Ruijin Xiao, Zhengxinchao Xiamen University of Technology School of Computer and Information Engineering Xiamen China

Due to the complexity and flexibility of natural languages, such robustness testing involving the ability of machine translation software to handle incorrect or unintended input are extremely challenging, especially if there is no human oracle or reference translation. In this paper, using metamorphic robustness testing methods, we compare the translation of the primitive input with the translation of a subsequent input that has different types of very small changes and may cause large changes in the translation results. The lack of robustness of the DeepL translation is shown by our experiments, these preliminary results show that metamorphic testing has potential in the field of natural language processing. © Published under licence by IOP Publishing Ltd.

关键词： software testing

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