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检索条件"任意字段=International Conference on Computer Engineering and Technology"

共 443944 条记录，以下是1411-1420 订阅

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A Unified Vista and Juxtaposed Study on k - ary Search Algorithms 2

A Unified Vista and Juxtaposed Study on k - ary Search Algor...

引用

2nd international conference on Networking, Embedded and Wireless Systems, ICNEWS 2024

作者： Dutta, Anurag Ray, Samrat Kumar, Pijush Kanti Ramamoorthy, Athilingam Pradeep, Chandrasekar Gayen, Sharmistha Government College of Engineering and Textile Technology Department of Computer Science Calcutta Serampore India International Institute of Management Sciences International Relations Maharashtra Pune India Government College of Engineering and Textile Technology Department of Information Technology Calcutta Serampore India Anna University Velammal Engineering College Department of Mathematics Tamil Nadu Chennai India Visvesvaraya Technological University MVJ College of Engineering Department of Mathematics Karnataka Bangalore India Modern Institute of Engineering and Technology Department of Computer Science Calcutta Bandel India

ISBN: (纸本)9798350367461

With the surge in global development accompanied by adverse improvements in technology, data aspects have caught a great height these days. Now, there are a lot of actions that are to be taken on these chunks of data. Some of them are, searching, sorting, adding, deleting, merging, etc. In this research, we have worked out a unified inequality relating to the generic version of the class of Binary Search, i.e., k-ary Search Algorithms. A detailed comparative study is done on the average case computational complexity k-ary search for different parities of 'k'. As per the studies conducted in the research, the summation of all computational complexities for even values of k is greater than the summation of all those for odd values of k. Further, a relation between the average case computational complexity and the partitional parameter k is derived with mathematical rigor;As per the results obtained in the research, they follow an inverse relationship, which have been established mathematically and graphically in the research. © 2024 IEEE.

关键词： Inverse problems

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Generative AI in Focus : A Comprehensive Review of Leading Models Across Modalities 4

Generative AI in Focus : A Comprehensive Review of Leading M...

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4th international conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Aishwarya, S. Selvamurugan, C. Parthiban, K.G. Nathan, B. Manoj Prabhakar, J. Mohamed Noordeen, A. Sri Eshwar college of Engineering Department of Computer Science and Engineering Coimbatore India Dhaanish Ahmed Institute of Technology Department of Science and Humanities Coimbatore India Dhaanish Ahmed Institute of Technology Department of Biomedical Engineering Coimbatore India Dhaanish Ahmed Institute of Technology Department of Computer Science and Engineering Coimbatore India Dhaanish Ahmed Institute of Technology Department of Artificial Intelligence & Data Science Coimbatore India

ISBN: (数字)9798331529635

ISBN: (纸本)9798331529635

GenAI has revolutionized the generation of realistic and imaginative data in ways that were previously beyond the capabilities of other machine learning algorithms. This area is rapidly gaining traction, with extensive research currently underway to advance it further. The most recent EY Reimagining Industry Futures Study highlights the generative AI (GenAI) to be a pivotal technology. The surge in GenAI's prominence can largely be attributed to advancements in deep neural networks, hardware technology such as GPUs and increased availability of data. This research study reviews the most popular GenAI models, spanning text, image, and audio modalities. This study provides a comparative analysis of various models, serving as a comprehensive resource for understanding the functionality and efficiency of the top GenAI models available today. © 2024 IEEE.

关键词： Generative adversarial networks

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Moving Target Detection Algorithm Based on Improved YOLOv10 4

Moving Target Detection Algorithm Based on Improved YOLOv10

引用

4th international conference on Electronic Information engineering and computer Science, EIECS 2024

作者： Zhao, Shihao Hao, Ziqiang Zhang, Qingbao Wang, Zelong School of Electronic Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331531409

This paper proposes a moving target detection algorithm based on improved YOLOv 10. Alarge number of target motion videos are shot with high-definition industrial cameras, and then the YOLOv10 model is used to detect moving targets. The coordinate attention mechanism is proposed to improve the original PSA attention mechanism, and a dynamic upsampling strategy is introduced in the neck network. Experiments have shown that this method can accurately identify moving targets in videos and greatly improve the accuracy. © 2024 IEEE.

关键词： Target tracking

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Blockchain and Game-based Optimal Pricing Approach for Electric Vehicles Towards 5G

Blockchain and Game-based Optimal Pricing Approach for Elect...

引用

2024 international conference on Electronics, Electrical and Information engineering, ICEEIE 2024

作者： Kakkar, Riya Gupta, Rajesh Obaidat, Mohammad S. Jadav, Nilesh Kumar Tanwar, Sudeep Agrawal, Smita Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat 382481 India The King Abdullah II School of Information Technology The University of Jordan Amman11942 Jordan School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The Amity University UP Noida201301 India

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

This paper proposes an amalgamation of blockchain and interplanetary file system (IPFS) incentive approach for distributed electric vehicle (EV) charging. The incorporated blockchain technology with IPFS protocol ensures cost-efficient and reliable data transactions between EVs and charging stations (CSs). We have integrated a fifth-generation (5G) communication network to ensure low latency and highly reliable communication between EV and CS. Furthermore, the proposed blockchain and gamification approach employs a conditional zero sum (C-ZeSu) game theory to optimize the incentive for EV charging. The performance analysis of the proposed incentive approach is evaluated and implemented over the Remix integrated development environment (R-IDE) by deploying the smart contracts of formulated C-ZeSu game in terms of various performance evaluation metrics such as convergence and transaction efficiency analysis, 5G New Radio (NR) bit error rates. © 2024 SPIE.

关键词： 5G mobile communication systems

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IoT in Brain-computer Interfaces for Enabling Communication and Control for the Disabled 10

IoT in Brain-Computer Interfaces for Enabling Communication ...

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10th international conference on Communication and Signal Processing, ICCSP 2024

作者： Rajarajan, S. Kowsalya, T. Gupta, Nukala Sujata Suresh, P.M. Ilampiray, P. Murugan, S. Sri Sai Ram Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Department of Electronics and Communication Engineering Tamil Nadu Namakkal India Chaitanya Bharathi Institute of Technology Department of Computer Engineering and Technology Telangana Hyderabad India Sphoorthy Engineering College Department of CSE-Cyber Security Telangana Hyderabad India R.M.K. Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350353068

The proposed system integrates Internet of Things (IoT) technologies with Brain-computer interfaces to improve disability-related communication and control. BCIs may directly communicate between the brain and external equipment, providing a lifeline for persons with severe physical restrictions. Incorporating IoT concepts may boost BCI efficacy. Integration of BCI with IoT technology demonstrates unique advantages. BCIs may be connected to the IoT framework to provide a more flexible and comprehensive communication and control environment. Thanks to IoT connection, BCIs can seamlessly interface with assistive devices, home automation systems, wearables, and digital platforms. Interconnectedness expands BCIs' reach, improves user experiences, and allows creative applications. It shows how IoT-enabled BCIs may help disabled people connect with their surroundings, enhance their quality of life, and recover independence. The study discusses data security, privacy, latency, and device compatibility difficulties while integrating various technologies. This combination promises immediate practicality and future progress in both sectors, creating a more comprehensive and accessible digital world. © 2024 IEEE.

关键词： Internet of things

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An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production 24

An Evaluation Method based on Fuzzy Model for the Autonomous...

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8th international conference on computer Science and Application engineering, CSAE 2024

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Huaquan, Hu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Huairou Beijing China

ISBN: (纸本)9798400718090

The Autonomous and controllable of the spacecraft component is of great importance for the development of our space industry. The key step of the spacecraft component is the production. Many researchers focus on the estimation of the autonomous and controllable of the spacecraft component production. This paper model the evaluation method including the construction of the evaluation index system and the estimation method. The proposed estimation method is based on the fuzzy model to synthesize the qualitative, quantitative indicators and the according weights. Compared to mapping the qualitative value to a fixed number, the proposed method avoids the effect of the subjectivity. The experimental results show that the proposed method tend to think highly of the quantitative values when the qualitative values are not very too much so as to avoid the effect of the subjectivity for the qualitative indicators in the evaluation. © 2024 Copyright held by the owner/author(s).

关键词： Aerospace industry

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Gender Detection in Video Streams: A Deep Learning Approach for Ethical and Practical Applications 3

Gender Detection in Video Streams: A Deep Learning Approach ...

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3rd international conference for Innovation in technology, INOCON 2024

作者： Kaur, Amandeep Kanwal, Navdeep Kumar, Manoj Singh, Nongmeikapam Thoiba Chandigarh University Department of Computer Science and Engineering Punjab India Punjabi University Department of Computer Science and Engineering Punjab Patiala India Department of Computer Science and Engineering Punjab Talwandi Sabo India

ISBN: (纸本)9798350381931

Gender detection assumes a vital role in different spaces, including security, promotion, medical care, and the human-PC connection. This examination paper presents a strong, constant gender detection framework in light of profound learning procedures custom-made for video transfers. The meaning of constant gender detection lies in its capacity to give prompt bits of knowledge into gender socioeconomics in unique conditions. In this review, we influence a convolutional neural network (CNN) design for gender characterization because of its viability in taking care of visual information. A complete dataset of explained facial pictures is gathered, and thorough preprocessing strategies are applied to guarantee information quality. The CNN model is prepared and calibrated utilizing this dataset, bringing about a high-performing gender classifier. © 2024 IEEE.

关键词： Classification (of information)

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Key Technologies and Development Directions of Brain-computer Interface technology for Manned Space Mission 3

Key Technologies and Development Directions of Brain-Compute...

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3rd IEEE international conference on computer Communication and Artificial Intelligence, CCAI 2023

作者： Qiu, Zhenyu Zhao, Huan Wang, Shijin Wang, Yue Xi'an Jiaotong University School of Electrical Engineering Xi'an China Nanchang Institute of Technology College of Computer Information Engineering Nanchang China Intelligent Space Technology Co. Beijing China

ISBN: (纸本)9798350335262

The application of brain-computer interface (BCI) technology in manned space mission can improve the safety of astronauts and the reliability of space operation. The BCI technology for manned space mission is introduced firstly, and then the application of BCI technology in manned space mission such as the control of astronauts' living environment, the rapid response of astronauts' emergency system, the flexible control of space manipulator, the remote operation and emergency maintenance of space robots is given. Then key technologies of BCI in manned space engineering such as Non-invasive EEG signal acquisition and recognition of astronauts, efficient transmission of brain-computer signals in space mission, high- precision control of BCI, Rapid feedback of BCI in spacecraft engineering is discussed. And the Impact of space environment on BCI hardware and software for space engineering is analyzed. At last, future development directions of BCI technology for manned space Mission is proposed. © 2023 IEEE.

关键词： Brain computer interface

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Harvesting Insights: Predicting Vegetable Prices with Hybrid CLA-Conv BiGRU Techniques 3

Harvesting Insights: Predicting Vegetable Prices with Hybrid...

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3rd international conference for Innovation in technology, INOCON 2024

作者： Lal Ambashtha, Kanahaiya Praveen Kumar, Chatakunta Pandey, Vivekanand Sakthivel Padaiyatchi, S. Bharathi, A. Navaz, K. Gnsu Faculty of Information Technology Bihar Sasaram India Institute of Aeronautical Engineering Department of Computer Science and Engineering Hyderabad India Amity University Bihar Patna India Nehru Institute of Engineering and Technology Department of Electrical and Electronics Engineering TN Coimbatore India Vels Institute of Science Technology and Advanced Studies Department of Information Technology Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350381931

The system delves into the important topic of agricultural market pricing, with a specific emphasis on the ever-changing realm of vegetable supply and prices. Stabilizing the supply and prices of vegetables becomes an enormous task when consider that the system are grown outdoors and that weather variables significantly impact harvests. Such unpredictability has far-reaching consequences for the country's economy, highlighting the critical need to develop efficient methods of precise forecasting. The government has made multiple attempts to stabilize vegetable prices and supplies, but these have all been unsuccessful due to the unpredictable weather patterns of late. This system uses state-of-the-art deep learning methods, notably the Hybrid CLA-Conv BiGRU model, which incorporates a novel preprocessing strategy based on the HP Filter, to conquer this obstacle. A strong prediction model for vegetable prices is constructed using the process, which includes feature extraction, scoring, and selection. © 2024 IEEE.

关键词： Vegetables

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Prediction on the Resilience Modulus of Roadbeds Based on Coupled Bayesian with XGBoost Models 5

Prediction on the Resilience Modulus of Roadbeds Based on Co...

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5th international conference on computer engineering and Application (ICCEA)

作者： Li, Hongbin Zhou, Jianbin China Railway Engn Design & Consulting Grp Co Ltd Zhengzhou Design Inst Zhengzhou 450002 Peoples R China

ISBN: (纸本)9798350386783;9798350386776

Accurately and efficiently estimating the rebound modulus of the roadbed is essential for ensuring the safety of the highway roadbed system and achieving reliable structural response design. To address this, the study utilized sample data from 12 different roadbeds, consisting of over 2800 sets of actual rebound modulus data, and employed Bayesian analysis for prediction. Initial considerations encompassed multiple parameters, such as mechanics, soil properties, and environmental factors, leading to the selection of six influencing factors including weighted plasticity index, dry density, shear stress, deviatoric stress, moisture content, and freeze-thaw cycles as input parameters. Subsequently, the dataset underwent preprocessing using the entropy weight method and data normalization techniques to acquire the weight coefficients of various influencing factors, providing a more accurate reflection of their impact on the rebound modulus. Based on this, the XGBoost algorithm was utilized for predicting the roadbed's rebound modulus. Due to the numerous hyperparameters of the XGBoost algorithm, the study combined the Bayesian optimization (BO) algorithm to adjust these hyperparameters. Finally, a sensitivity analysis was conducted to explore the relative importance of each input variable. The results revealed that in comparison to XGBoost based on grid search, the BOXGBoost model could accurately predict the subgrade rebound modulus within a shorter time frame, with a correlation coefficient R2 of 0.997 and an RMSE of 1.53. Additionally, when compared to artificial neural network models, support vector machine models, and traditional LGP and Kim empirical models, the BO-XGBoost model demonstrated superior performance.

关键词： Road engineering XGBoost Roadbed rebound modulus Bayesian optimization Artificial intelligence models

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