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检索条件"任意字段=2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022"

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Highly Accurate Dynamic Gesture Recognition Method Based on Edge Intelligence 1

引用

3rd EAI international conference on Edge Computing and IoT, EAI ICECI 2022

作者： Changkai, Lu Yiwen, Liu Yanxia, Gao Yuanquan, Shi Xiaoning, Peng School of Computer and Artificial Intelligence Huaihua University Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application in Hunan Province Universities Huaihua418000 China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua418000 China

ISBN: (数字)9783031289903

ISBN: (纸本)9783031289897

In recent years, gestures have been widely used in many fields. For example, human-computer interaction, virtual reality, gesture translation, etc. The reason for its rapid development is due to the emergence of deep learning and artificial intelligence under today’s society. Due to dynamic gestural interactions, such large intelligent models are often characterized by many parameters, large sample size, frequent parameter updates, and high communication volume. Based on this feature, we propose a cloud-based edge design architecture approach for gesture recognition based on an improved YOLOv5 network model optimization by changing different gestures, background interference, which uses a 21-layer model for the neural network. With the use of edge intelligence, the computational accuracy can be improved by 10.6% over the traditional YOLOv5 with a MAP value of 93.3%. The final recall rate is also improved by 3.6%. The parameter model is only 43.6% of the original one. This shows the practicality and operability of using edge computing as a technique in gesture recognition, as well as the small improvement cost and obvious effect. © 2023, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Gesture recognition

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Skeleton-Based Action Recognition with UAV Views 2021

Skeleton-Based Action Recognition with UAV Views

引用

2021 3rd international conference on Video, signal and Image processing

作者： Baosheng Li Chong Tan Jian Wang Runze Qi Peng Qi Xiaolei Li State Grid Shandong Electric Power Company Laiwu Power Supply Company China School of Control Science and Engineering Shandong University China

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Design and Performance Analysis of Toothless Slip Type Magnetic Rotary Oil Well Pipe Tong 3

Design and Performance Analysis of Toothless Slip Type Magne...

引用

2021 3rd international conference on computer, Communications and Mechatronics Engineering, CCME 2021

作者： Zheng, Jie Bi, Cheng Lu, Heng Li, Zhenzhen Yang, Xu Yang, Yushan Lu, Yuan Dou, Yihua Zhang, Yarong Xi'An Special Equipment Inspection Institute Shaanxi Xi'an710065 China School of Mechanical Engineering Xi'An Shiyou University Shaanxi Xi'an710065 China Xi'An Key Laboratory of Wellbore Integrity Evaluation Shaanxi Xi'an710055 China School of Science Xi'An University of Architecture and Technology Shaanxi Xi'an710055 China School of Power and Energy Northwestern Polytechnical University Shaanxi Xi'an710072 China

Although the current hydraulic power pipe tong can improve efficiency and reduce strength, there are still some deficiencies. Among them, the inevitable defects are a low degree of automation, high labor intensity, complex mechanical mechanisms, and high maintenance costs. In order to improve its performance, the principle of permanent magnet motor is applied to the processing of shackle of oil pipe tong, and a new type of magnetic rotary oil pipe tong is proposed. The design eliminates the complex planetary gear train transmission mechanism and hydraulic circuit in the traditional tightening device, simplifies the mechanism of the tightening device, reduces the size of the device, saves the manufacturing cost, improves the automation degree of the power tong and reduces the labor intensity of the workers. The triangular chuck is suitable for clamping pipe strings with different diameters. In addition, due to the use of toothless slips, the damage of the tightening device to the sleeve is reduced, the sleeve is protected and the service life of the sleeve is prolonged. Therefore, this new type of magnetic rotary tubing tong has a good application prospect in the up and down operation. © Published under licence by IOP Publishing Ltd.

关键词： Magnetism

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Detection of Alzheimer's disease using machine learning models: the impact of pre-processing

Detection of Alzheimer's disease using machine learning mode...

引用

The 3rd international conference on Distributed Sensing and Intelligent Systems (ICDSIS 2022)

作者： R. A. Zoubi A. Elnagar Dept. of Computer Science University of Sharjah Sharjah UAE

Alzheimer's disease is a brain ailment that causes memory loss, disorientation, personality changes, and a loss of independence over time. People with this disease initially experience minor memory loss and confusion. This is referred to as cognitive deterioration. However, as time passes, these symptoms get more acute. On the other hand, as there is no cure for this disease, medical professionals concentrate on detecting dementia in its early stages, this helps them determine the best treatments and allows patients to take precautionary measures before any damage happens to their brain which is irreversible. As a result, researchers focus on using machine learning models that can give significant results in identifying symptoms of dementia in the early stages. In this paper, we employed machine learning methods to identify the various phases of dementia using brain MRI scans. We used multiple traditional algorithms such as XGBoost, AdaBoost, Gradient Boosting, Decision trees, SVM, Logistic regression, Random forest, and KNearest Neighbor. We compared the performance of these algorithms with and without the use of preprocessing techniques. Our best model was the SVM model with an accuracy of 100% after applying preprocessing. In addition, we used a transfer learning model that achieves an accuracy of 90%. Thus, our work demonstrated the effect of preprocessing on enhancing the results of the traditional algorithms and transfer learning models in identifying the stages of dementia.

关键词： biomedical MRI brain cognition decision trees diseases medical image processing nearest neighbour methods random forests regression analysis support vector machines

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Energy Cognizant Scheduling in Three-Layer Cloud Architecture: A Systematic Review

Energy Cognizant Scheduling in Three-Layer Cloud Architectur...

引用

international conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Shalini Tiwari Beena B M Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

Today’ $s$ era is of intelligent devices connected to serve various real-time applications. These numerous IoT devices collect enormous amounts of data, which are then transferred to the cloud for further processing and analysis. Most of these tasks are delay-sensitive and require processing within their deadline. These tasks require high-speed computing and storage resources for their processing. Although the cloud layer provides enormous processing and storage capability, we can not ignore the amount of delay in response generation. Thus, other two lower layers, i.e., the Edge layer and the fog layer, should also be considered to develop an efficient algorithm for task scheduling and load balancing. These three layers vary in terms of resource availability and communication latency. Currently, the increased focus of many new researchers on improving the performance metrics in the cloud architecture, such as energy efficiency, resource utilization, and latency, leads to the requirement of a detailed review of previous work done in this area. Although many review articles are on the web, most focus only on a single layer. Thus, The current study considers all three layers, edge, fog, and cloud, to present a detailed systematic review of algorithms based on load balancing and scheduling at task and VM levels. This study aims to compare and analyze the available papers based on the focused layers, the methodology used, performance matrices, advantages, and future scopes.

关键词： Measurement Cloud computing Systematics computer architecture Load management Scheduling Energy efficiency

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A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features

A Novel Channel Identification Architecture for mmWave Syste...

引用

international conference on Wireless Communications and signal processing (WCSP)

作者： Yibin Zhang Jinlong Sun Guan Gui Haris Gacanin Fumiyuki Adachi College of Telecommunications and Information Engineering NJUPT Nanjing China Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen Germany Research Organization of Electrical Communication Tohoku University Sendai Japan

ISBN: (纸本)9781665450867

Millimeter wave (mmWave) communication technique has been developed rapidly because of many advantages of high speed, large bandwidth, and ultra-low delay. However, mmWave communications systems suffer from fast fading and frequent blocking. Hence, the ideal communication environment for mmWave is line of sight (LOS) channel. To improve the efficiency and capacity of mmWave system, and to better build the Internet of Everything (IoE) service network, this paper focuses on the channel identification technique in LOS and non-line of sight (NLOS) environments. Considering the limited computing ability of user equipments (UEs), this paper proposes a novel channel identification architecture based on eigen features, i.e. eigenmatrix and eigenvector (EMEV) of channel state information (CSI). Furthermore, this paper explores clustered delay line (CDL) channel identification with mmWave, which is defined by the 3rd generation partnership project (3GPP). The experimental results show that the EMEV based scheme can achieve identification accuracy of 99.88% assuming perfect CSI. In the robustness test, the maximum noise can be tolerated is $\text{SNR} = 16 \mathbf{dB}$ , with the threshold $acc\geq$ 95%. What is more, the novel architecture based on EMEV feature will reduce the comprehensive overhead by about 90%.

关键词： Wireless communication Precoding Millimeter wave technology computer architecture Quality of service Robustness Delays

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State-of-the-Art Methods for Fine-Grained Emotion Detection from Malayalam Text using Deep Learning: A Survey

State-of-the-Art Methods for Fine-Grained Emotion Detection ...

引用

international conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： K Anuja P C Reghu Raj Remesh Babu K R Dept. of Computer Science and Engineering Govt. Engineering College Palakkad A. P. J. Abdul Kalam Technological University Kerala India

Social media has changed the way people express their opinions, views, and feedback about anything in their minds. This large volume of sentiment-rich data needs to be examined properly in order to comprehend the mood, attitude, or sentiment underlying those words. computers can process, interpret, and analyze vast volumes of natural data using natural language processing (NLP), which helps them to comprehend human languages. Now all organizations are looking for more fine-grained sentiment analysis to plan their business strategy. This paper investigates state-of-the-art textual data analysis using NLP techniques. The increased use of Indian languages in communicating platforms is a challenging task for opinion mining. In this paper, we survey the state-of-the-art methods based on deep learning and fuzzy rules for sentiment analysis.

关键词： Deep learning computers Sentiment analysis Emotion recognition Data analysis Social networking (online) Mood

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An Approach to the Presumptive Detection of Road Incidents in Cuenca, Ecuador Using the Data from the Social Media Twitter and Spanish Natural Language processing 3rd

An Approach to the Presumptive Detection of Road Incident...

引用

3rd international conference on Smart Technologies, Systems and Applications, SmartTech-IC 2022

作者： Loja-Morocho, Pablo E. Reyes-Duchitanga, Robbyn T. León-Paredes, Gabriel A. Grupo de Investigación en Cloud Computing Smart Cities & High Performance Computing Universidad Politécnica Salesiana Cuenca Ecuador

ISBN: (纸本)9783031322129

The road situation in Ecuador, specifically in the city of Cuenca and its surroundings, can vary according to various aspects related mainly to the weather, or traffic incidents caused due to reckless actions by drivers. Therefore, many times these problems can cause some drivers to be forced to delay their trip or look for alternative routes to reach their destination, others can plan their departure according to the related news they find when browsing social media, which can be somewhat time-consuming and even unlikely to find. For this reason, in this paper, a mobile application is presented whose primary function is to collect publications from social media Twitter from different Twitter accounts that are related to road incidents and to classify them using Natural Language processing (NLP) and Machine Learning (ML) models such as BERT. Then, we present an approximate location of the presumptive incident on an interactive map which allows each of these tweets to be displayed with a personalized icon that can indicate different types of road incidents and, at the same time, the details of the event that occurred. Two main experiments were carried out to find (a) the model accuracy, where a value of 80% was obtained as a result, which is considered a positive result for road incident classification, and (b) the execution of acceptance tests, where a questionnaire based on the ISO 9126 standard was presented to a group of bikers belonging to the city of Cuenca, obtaining as a result that for most users the application is new (85.8%), efficient (85.7%) and easy to use (64.3%). This research makes it possible to present news of road incidents in a centralized manner, which makes it easier for drivers to stay informed and thus avoid annoying interruptions in their circulation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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computer Big Data Technology and Mathematical Model Applied in Korean Network Learning System 2021

Computer Big Data Technology and Mathematical Model Applied ...

引用

2021 3rd international conference on Artificial Intelligence and Advanced Manufacture

作者： Yaqian Wang Shandong Vocational College of Science & Technology China

ISBN: (纸本)9781450385046

In natural language processing systems (including machine translation systems), grammatical and semantic information dictionaries are essential components. From the perspective of language engineering, the article discusses the theoretical basis of the establishment of a language knowledge expression system for Korean information processing, the design concept of the system, the mathematical model of the system library structure, and the technology and strategy of how to use VC language to implement it. The interface legend of the program.

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Application of Digital signal processing Technology in Electronic Information Engineering 2021

Application of Digital Signal Processing Technology in Elect...

引用

2021 3rd international conference on Artificial Intelligence and Advanced Manufacture

作者： Hu Sheng Hongxin Li Dalian Jiaotong University China

ISBN: (纸本)9781450385046

Due to the rapid development of modern technology, digital signal processing technology has been widely used in many fields. Among them, the application of digital signal processing technology to the field of electronic information industry has a significant impact on its development. This article mainly focuses on the application of digital signal processing technology in electronic information engineering. On the basis of a large number of documents, it understands the relevant theoretical issues of digital signal processing technology and electronic information engineering, and then analyzes the PSD using digital signal processing technology. The synchronous measurement system was designed to illustrate the practical application of digital signal processing technology in electronic information engineering. Finally, the designed system was tested, and the test conclusions confirmed that the measurement accuracy of the system in this paper is percent within four.

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