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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 11084 条记录，以下是771-780 订阅

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Design of Intelligent Zebra Crossing System Based on Cloud-network Convergence 7

Design of Intelligent Zebra Crossing System Based on Cloud-n...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Gao, Li Xi'an Tadffic Engineering Institute Xi'an710300 China

ISBN: (纸本)9781665478571

With the Internet of things (IoT) applied in various fields, instantaneous information perception and collection has become possible, significantly improving the perception capability of the traffic system more than ever. this paper proposed a construction scheme of intelligent zebra crossings based on cloud-network convergence. When the pedestrians are detected crossing the zebra crossing, the system activates the zebra crossing warning lights according to the pre-programmed operation strategy. the light, combined with audible warning, can warn both drivers and pedestrians, so as to reduce car accidents. the real-time monitoring is connected to the government cloud platform via the operator network, allowing for detection and maintenance of any unusual conditions that may arise, ensuring the continued operation of the facilities. © 2022 IEEE.

关键词： Internet of things

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Deep Learning Application-Water Region Extraction in SAR Image Based on Markov Random Field 7

Deep Learning Application-Water Region Extraction in SAR Ima...

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7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Xu, Yixiang Han, Yuchen Henan University of Economics and Law School of Computer and Information Engineering Zhengzhou450016 China

ISBN: (纸本)9781665478571

In recent years, deep learning has become a research hotspot in computer and image processing. this paper applies the deep learning method to water extraction from single-polarization SAR images. the improved Gamma Markov random field (G-MRF) model is proposed based on the convolution neural network and Gamma distribution. G-MRF model transforms global information into local neighborhood information. the method effectively extracts different water bodies, including narrow and wide rivers. the water extracted in the figure has smooth edges and good regional consistency using the G-MRF. the extraction effect is better than the traditional OTSU threshold segmentation and SVM methods. © 2022 IEEE.

关键词： Synthetic aperture radar

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Distributed pseudonym mechanism based on Consortium Blockchain 23

Distributed pseudonym mechanism based on Consortium Blockcha...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Li, Baohui Wang, Miaomiao Chen, Shiyou Rui, Lanlan Yang, Yang Gao, Zhipeng Beijing University of Posts and Telecommunications National Engineering Laboratory for Disaster Backup and Recovery Beijing China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China

ISBN: (纸本)9781665494571

Crowd sensing is a way to obtain multiple sensing data onto users or mobile devices and is widely used in industrial Internet, smart city, smart medical, etc. However, when users upload sensing data involving sensitive information such as a user identity and location, there will be risks of data privacy leakage and user tracking. For the problem of this scenario, we propose a blockchain-based pseudonym generation mechanism, which uses pseudonyms to realize user anonymity and user identity authentication. the average speed of pseudonym generation and authentication in the simulation experiment is about 0.1s, the experimental results verify the availability and effectiveness of the distributed pseudonym mechanism. © 2021 IEEE.

关键词： Privacy Data privacy Smart cities Distributed ledger Authentication Mobile handsets Sensors

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Comparative Analysis of Deep Learning Pre- Trained Models and Machine Learning Classifiers for Accurate Cervical Cancer Diagnosis using Colposcopy Images 7

Comparative Analysis of Deep Learning Pre- Trained Models an...

引用

2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Kalbhor, Madhura Malhari Shinde, Swati Vijay Pimpri Chinchwad College of Engineering Department of Computer Engineering Pune India

ISBN: (纸本)9798350304268

Cervical cancer is a significant public health issue worldwide, and early detection is essential for successful treatment. Colposcopy is a widely used diagnostic tool for cervical cancer, but its accuracy depends on the examiner's experience. Computer-aided diagnosis (CAD) systems can potentially improve diagnostic accuracy and reduce variability among examiners. the proposed system includes feature extraction using different deep-learning pre-trained models and classification into cancerous and non-cancerous images using different machine-learning classifiers. the efficacy of the suggested system is assessed utilizing a conventional dataset comprising colposcopy images. the results of study demonstrate a potential of CAD systems for improving accuracy of cervical cancer diagnosis and reducing inter-observer variability using deep learning. the paper presents that the Googlenet and ResNet-50 pre-trained models features from transformation zone extracted colposcopy images have the highest classification accuracy of 76.64%. © 2023 IEEE.

关键词： Cervical Cancer colposcopy images deep learning Pre-trained models

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An Effective Approach in Brain Tumor Detection and Classification Using CRF 7

An Effective Approach in Brain Tumor Detection and Classific...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Karthick, S. Meganathan, R. Sabarinathan, V. Satheeshkumar, S. Vasanthakumar, R.P. Erode Sengunthar Engineering College Department of Electronics and Communication Engineering Tamil Nadu India Erode Sengunthar Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Perundurai638057 India

ISBN: (纸本)9798350372816

A technical advancement in the medical sector, magnetic resonance imaging (MRI) generates high-quality images the fact that is used to identify and categorize disorders that affect a patient's internal organs. A brain tumor is a particular disorder that is capable of being recognized by examining an MRI image. Medical professionals improve using MRI technology in the early detection of brain tumor disease. the important method for carrying out various tasks like obtaining, pre-processing, extracting useful features, choosing, and classifying MRI images is magnetic resonance imaging analysis. the substance of extraction is a technique for representing an image using its raw data by processing it to extract valuable information that assists with decision-making processes like pattern categorization. Conditional random fields (CRFs) are techniques that are frequently utilized for structured prediction and pattern recognition. MATLAB is used to simulate the suggested system accuracy 90.2%, sensitivity 89.6%, specificity 88%, and produce effective results. © 2024 IEEE.

关键词： Support vector machines

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Terrain Image Classification Based on Vision Transformer Deep Learning Algorithm 7

Terrain Image Classification Based on Vision Transformer Dee...

引用

7th international conference on Algorithms, computing and Artificial Intelligence, ACAI 2024

作者： Ren, Shiqi Zhang, Yu College of information engineering College of artificial intelligence Yangzhou university Jiangsu Yangzhou225000 China College of Computing Georgia Institute of Technology AtlantaGA30332 United States

ISBN: (纸本)9798331529314

Terrain image classification is an important research direction in the field of remote sensing and computer vision, aiming to realize automatic recognition and classification of different landform features through the analysis and processing of terrain images. In this paper, a deep learning algorithm based on Vision Transformer (ViT) is used to classify terrain images, and the performance of the algorithm in this task is systematically evaluated. In the process of model construction, we first imported the Vision Transformer model and made corresponding parameter Settings to ensure its adaptability and effectiveness. After training, it is observed that the loss function of the training set decreases from the initial value of 2.84 to 0.35, a decrease of 2.49, indicating that the model tends to converge in continuous optimization. At the same time, the accuracy is also significantly improved, from 55.9% to 86.8%, an increase of 30.9%, showing the enhancement of the model's learning ability. For the validation set, loss also decreased from 0.78 to 0.47, a decrease of 0.31, while accuracy increased from 60.1% to 83.5%, an increase of 23.4%. these results further prove the good performance of the model on different data sets and its convergence trend. In addition, through the evaluation of the test set, we get more specific performance indicators: the accuracy of the terrain image classification model based on Vision Transformer on the test set reaches 89.9%, the Precision is 0.9615, the Recall is 0.9494, and the F1-score is 0.9554. these indicators show that the model not only has high classification accuracy, but also performs well in generalization ability. To sum up, this research demonstrates the effectiveness of Vision Transformer deep learning algorithm in terrain image classification, and provides a new solution idea and method for related fields. through continuous optimization and adjustment, the algorithm is expected to achieve more extensive promotion in pract

关键词： Machine vision

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Design and Test of Beidou RF Module Based on JT110 7

Design and Test of Beidou RF Module Based on JT110

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Wang, Li Jia, Meng Liu, Jinxiang Dalian Neusoft University of Information Department of Microelectronics Science and Engineering Dalian China

ISBN: (纸本)9781665478571

this paper mainly introduces the RF module composed of JT110 and 89C51. JT110 is a highly integrated RNSS multi frequency point dual-mode RF receiver, which supports two channels to work independently at the same time;As the main control chip of the control circuit, 89C51 completes the function of the control circuit through SPI control circuit and programming. the designed circuits including: RF input circuit, clock reference circuit, power supply circuit and so on. In the software part, the PADs is selected to design the circuit schematic diagram and draw the PCB layout, and the test instrument is used to test the phase noise, noise coefficient, input standing wave and other parameters. © 2022 IEEE.

关键词： Schematic diagrams

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ICT in Education: A Comparative Analysis of Pre-Covid and Post-Covid Era 7th

ICT in Education: A Comparative Analysis of Pre-Covid and Po...

引用

7th international conference on computing in engineering and technology, iccet 2022

作者： Singh, Archana Singh, Anuj Kumar Garg, Ankit Rajkiya Engineering College Banda India Amity University Haryana Gurugram India

ISBN: (纸本)9789811927188

technology is one of the modes of education to optimize teaching and learning methodologies in imparting knowledge. Talking about higher educational institutes, one can see the same pedagogy as it used to be a decade ago. However, these Institutes are plagued by many challenges like lack of infrastructure and inadequate technology access, and it is essential to see how these burgeoning technologies (ICT) are fostering and bridging this massive gap of teaching and learning and keeping pace with the rest of the part of the globe. ICT has revolutionized almost every sphere of society. the education system is one of the sectors that has also undergone a massive change with ICT incorporation. After the arrival of the worldwide covid pandemic, the use of ICT in education has increased extensively. this paper has performed a comparative analysis on ICT usage by the students and teachers of engineering institutions in pre-covid age and post-covid age. the survey method of data collection has been used in this research work. Analysis of results has revealed that the usage of ICT by the students and teachers has been significantly increased after the arrival of covid. Moreover, the presented work has highlighted the issues raised by the students and teachers in the post-covid time. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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HIVE: Route Optimization Problem of Automatic Delivery System with Mobile Depot and Multiple Drones 23

HIVE: Route Optimization Problem of Automatic Delivery Syste...

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作者： Liu, Yao Chang, Xuening Zhou, Yuzhen Dang, Shuo Shi, Jianmai Liu, Zhong College of Systems Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781665494571

An automatic delivery system with mobile depot and multiple drones, HIVE, is proposed. through this system and a series of embedded devices such as drone automatic launch and recovery device etc., two delivery modes, manual delivery and unmanned delivery, are executed in parallel. To solve the delivery route of this system, Two-Echelon Routing Problem with Mobile Depot and Multiple Drones (2E-RP-MD&mD) is investigated. A heuristic algorithm based on the regression is designed according to the route characteristics of the HIVE delivery system. Parameters of mobile depot and drones are standardized referred to the performance of delivery vehicles. Experiments on random instances as well as actual case based on Changsha are carried out to test the performance of the proposed algorithm and prove the delivery efficiency of HIVE automatic delivery system. © 2021 IEEE.

关键词： Energy consumption Costs Heuristic algorithms Manuals Routing Planning Optimization

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Research and Implementation of Parallel Optimization of SM3 Algorithm Based on Multithread 7

Research and Implementation of Parallel Optimization of SM3 ...

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7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Liu, Yongjie Zhao, Rongcai Han, Lin Xie, Jingming Zhengzhou University School of Information Engineering Zhengzhou450000 China Zhengzhou University National Supercomputing Zhengzhou Center Zhengzhou450000 China

ISBN: (纸本)9781665478571

the national secret SM3 cryptographic hash algorithm is to generate a fixed hash value after iterative compression and expansion of a group of messages, which is mainly suitable for the generation of digital signatures and random verification codes. the algorithm is based on the hash calculation, which is a computationally intensive task with high computational intensity. In order to improve the operating efficiency of the algorithm, make it achieve optimized operating effects on a multi-core system. this article uses multi-threaded parallel to rewrite the algorithm in parallel: through the privatization of variable attributes to avoid memory read and write conflicts in multi-threaded parallel, through dynamic task scheduling to achieve multi-threaded load balancing, so as to realize the parallel version of SM3 algorithm. Experimental results show that the parallel algorithm has a good linear acceleration when the number of threads increases, and the speedup ratio is increased by 2-6 times compared with the serial algorithm, which can provide a reference for the performance improvement of the algorithm on multi-core computing components. © 2022 IEEE.

关键词： Hash functions

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