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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68649 条记录，以下是471-480 订阅

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An Extensive Review of Optimized Energy Saving Approaches for Green Cloud Computing (GCC)

An Extensive Review of Optimized Energy Saving Approaches fo...

引用

2023 international conference on Advances in Computation, Communication and Information technology, ICAICCIT 2023

作者： Mehta, Deepak Tripathi, Amit Kumar Moazzam, Javed Department of Computer Science and Information Technology Bangalore India Noida Institute of Engineering and Technology Department of Electronical & Electronics Engineering Uttar Pradesh Greater Noida India Tula's Institute Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350344387

The proliferation because of cloud computing has resulted in inefficient power usage in the areas of data transmission, storing, and handling. This activity is environmentally detrimental due to the release of emissions of carbon. Hence, the implementation of green IT is necessary in order to preserve the surroundings. The environmentally conscious computing in the cloud (GCC) method is an element of green IT that tries to minimize the ecological impact of information centers by reducing the amount of energy they use. The GCC, or Global Climate Change, is a vast and captivating area for scientific investigation. Several studies have been conducted to enhance the utilization of computing resources in line with the GCC vision. The given paper concentrates on diverse facets, encompassing approaches for optimizing software, hardware, and network systems. Also, this paper summarizes and categorizes various GCC approaches. In order to make meaningful comparisons between GCC methods, it is helpful to first identify the central implementation strategies and the problems associated with each. © 2023 IEEE.

关键词： and automation Cloud computing energy conservation energy planning sustainable computing

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Integrating AI and computer Vision for Creating a Virtual Mouse 2

Integrating AI and Computer Vision for Creating a Virtual Mo...

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2nd international conference on Advancements in Electrical, Electronics, Communication, Computing and automation, ICAECA 2023

作者： Senthilkumar, V. Sheela, J. Angeline Jayashree, N. Radha, B. Saranya, P. Devasenan, M. Kumaraguru College of Technology Coimbatore Computer Science & Engineering India Coimbatore Institute of Engineering and Technology Information Technology Coimbatore India Sns College of Technology Biomedical Engineering Coimbatore India Dr.NGP Institute of Technology Dept of Mathematics Coimbatore India Dr.NGP Institute of Technology Electronics & Communication Engineering Coimbatore India

ISBN: (纸本)9798350306811

Nowadays innovation turns into much more available with the assistance of remote innovation. Even though there are numerous innovations still there are few slacks for individuals who are contrastingly abled or individuals who cannot access the mouse. Limited answers had been made to solve this dispute;however, they have limitations like making use of freelance sensors which cost excessive and require excellent computer systems with excessive specifications. To get better from the existing system, The proposed mechanism entitled the computer- generated Mouse for individuals with motor disabilities recommends the digital mouse in fondness to the usage of a regular PC mouse. The prime goal of this paper is to boost the interplay among computer systems and individuals (HCI). The proposed mechanism examines the face and it has been surprisingly skilled via the iBUG-300W dataset which makes the machine an applicable answer for all circumstances. As Machine Learning algorithms are getting eminent to clear up tough and exciting real-global troubles around us. The experimental output recommends that the proposed mechanism has generous overall performance in conjunction with applicable responsiveness. © 2023 IEEE.

关键词： computer vision

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Signed expressions spotting and recognition in an assistive technology system

Signed expressions spotting and recognition in an assistive ...

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2023 international conference on ENTERprise Information Systems, CENTERIS 2023 - international conference on Project MANagement, ProjMAN 2023 - international conference on Health and Social Care Information Systems and Technologies, HCist 2023

作者： Kapuscinski, Tomasz Department of Computer and Control Engineering Rzeszow University of Technology W. Pola 2 Rzeszow35-959 Poland

An algorithm for processing the continuous stream of incoming video data to detect and recognize signed expressions is proposed. The aim is to improve an assistive technology system. The method is based on the dynamic flow of expression models between a repository of inactive models and pools of active and completed models. When modeling signed expressions, so-called visemes are used. These are units smaller than words - the equivalent of phonemes known from speech recognition. Visemes are extracted by clustering descriptors of the holistic skeletons. The sequential-simultaneous nature of gestures is considered, and the modeling is carried out in four parallel channels related to the position and shape of both hands. The conditions for activation, deactivation, and recognition of the model as completed are formulated, assuming asynchronous changes in individual channels. The method is successfully tested on a demanding dataset recorded by potential users. © 2024 The Author(s).

关键词： Human computer interaction

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Design and Implementation of Laser Radar-Based Railway Foreign Object Intrusion Detection System 5

Design and Implementation of Laser Radar-Based Railway Forei...

引用

5th international conference on Electronics and Communication, Network and computer technology, ECNCT 2023

作者： Shi, Hongtong Zhao, Jimin Mu, Ruihou Tianjin University of Science and Technology TUST College of Electronic Information and Automation Tianjin China

ISBN: (纸本)9798350328660

This study presents the design and implementation of a laser radar-based system for detecting foreign object intrusion on railways. The system uses laser radar to scan the railway tracks and automatically detects foreign object intrusion through data processing and analysis, promptly triggering alarms. It consists of a laser radar acquisition module, data processing module, and foreign object intrusion detection algorithm. Experimental results demonstrate that the system can rapidly and accurately detect foreign object intrusion events, effectively addressing issues such as high manpower costs and low efficiency associated with traditional manual inspection methods. This research provides a novel approach and technological means for ensuring railway safety. © 2023 IEEE.

关键词： Intrusion detection

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The Practice of Using a SoftPLC to Control the Electromechanical Units of a Training Turning Machine

The Practice of Using a SoftPLC to Control the Electromechan...

引用

2023 international conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Martinov, Georgi Nikishechkin, Petr A. Moscow State University of Technology Stankin Department of Computer-Architecture Control Systems Moscow Russia

ISBN: (纸本)9781665475952

The process of developing a PLC program for controlling the electromechanical units of modern machine tools with computer numerical control (CNC) has been formalized. The architecture of a two-computer CNC system with an integrated SoftPLC is given and the specifics of using the touch operator panel and virtual machine panel are considered. A set of libraries developed in the FBD (Functional Block Diagram) language for controlling the electrical automation units of a turning machine is proposed. An example of controlling the electric automation of a training lathe via the high-speed EtherCAT field bus using relatively inexpensive third-party solutions for servo drives and I/O modules that provide the required accuracy and speed is given. © 2023 IEEE.

关键词： Lathes

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Design of Upper computer for Multi-channel Data Acquisition System Based on LabVIEW Serial Communication 3

Design of Upper Computer for Multi-channel Data Acquisition ...

引用

3rd international conference on Testing technology and automation Engineering, TTAE 2023

作者： Zhang, Yan Xi'an Shiyou University Key Laboratory of Optoelectronic Oil and Gas Logging and Testing Ministry of Education Xi'an710065 China

ISBN: (纸本)9781510674769

With the rapid development of computer technology and intelligent instrumentation in China, data acquisition and data processing technology have become one of the preliminary work for digital signal processing, which is widely used in many fields of production and life. LabVIEW through the virtual system front panel and system block diagram to establish virtual instrument graphic programming system, has been regarded as the standard data acquisition instrument control software, widely used in academia, industry and research room. Based on LabVIEW development platform, a set of data acquisition and processing system is designed, and serial communication, data acquisition, processing, storage, display and other functions are realized through simulation. © 2024 SPIE.

关键词： Data acquisition

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Chinese Text Spotter Exploiting Spatial Semantic Information in Scene Text Images 5

Chinese Text Spotter Exploiting Spatial Semantic Information...

引用

5th international conference on Robotics and computer Vision, ICRCV 2023

作者： Wang, Hao Zhou, Huabing College of Computer Science and Engineering Wuhan Institute of Technology Hubei Key Laboratory of Intelligent Robot Wuhan China

ISBN: (纸本)9798350326369

Chinese scene text spotting plays a significant role in computer vision applications as it involves extracting and interpreting Chinese information from scene images. However, existing methods often lack specialized designs for complex spatial semantic information in Chinese text images, leading to various degrees of false detections in Chinese scene text images. In this paper, we present SSTS, a novel Spatial Semantic Text Spotter for Chinese text image detection and recognition. SSTS utilizes a concise Transformer encoder and decoder architecture to effectively model spatial semantic information and predict the spatial orientation of Chinese text, reducing the likelihood of false detections caused by different combinations of Chinese characters in various orientations. Experimental results on Chinese scene public datasets demonstrate the superiority of our proposed method. In particular, SSTS achieves a new record of 78.5% in the 1-NED metric on the ReCTS dataset. © 2023 IEEE.

关键词： computer vision

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PLC Home automation: The Future of Smart Living 2

PLC Home Automation: The Future of Smart Living

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2nd international conference on Edge Computing and Applications, ICECAA 2023

作者： Soni, Lav Kaur, Amanpreet Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350347579

The use of a computer-controlled system to monitor and manage various processes household appliances and equipment, such as lights, HVAC systems, security systems, and entertainment systems is known as home automation using PLC (Programmable Logic Controller). PLC technology automates and controls the operation of various house components, including sensors, actuators, and switches, using a set of programmable logic instructions. With the use of this technology, homeowners can access and manage their home appliances remotely from a smartphone, tablet, or computer. Numerous advantages of home automation through PLC include higher comfort, reduced energy use, improved security, and increased convenience. Users may configure schedules, modify settings, and choose which notifications to receive so that the system is tailored to their own needs. © 2023 IEEE.

关键词： Programmable logic controllers

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Layer Height Estimation using Laser Line Scanners for Closed-Loop Directed Energy Deposition 11

Layer Height Estimation using Laser Line Scanners for Closed...

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11th international conference on Control, Mechatronics and automation (ICCMA)

作者： Adel, Salar Njaastad, Eirik B. Arbo, Mathias Hauan Lindseth, Frank Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway SINTEF Mfg Prod Technol Dept Trondheim Norway Norwegian Univ Sci & Technol Dept Comp Sci Trondheim Norway

ISBN: (纸本)9798350315684

Enhancing the geometric accuracy of additive manufacturing (AM) processes remains a vital challenge, particularly in the context of directed energy deposition (DED). This paper investigates the use of a laser line scanner for real-time layer height estimation during the DED process. The proposed system offers a method for 3D reconstruction and optimized layer height estimation for a multi-axis DED system using computer vision, enabling adaptive control and quality assurance in DED manufacturing. Experimental results demonstrate the effectiveness of the laser line scanner in achieving higher geometric accuracy in printed objects. The findings contribute to closed-loop control methodologies in AM, paving the way for a broader adoption of DED technology.

关键词： computer vision process control closed loop systems

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An Improved Deep Learning-Based Approach to Urban Weather Radar Echo Extrapolation

An Improved Deep Learning-Based Approach to Urban Weather Ra...

引用

2023 IEEE international conference on Dependable, Autonomic and Secure Computing, 2023 international conference on Pervasive Intelligence and Computing, 2023 international conference on Cloud and Big Data Computing, 2023 international conference on Cyber science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Sun, Jiawei Yang, Zhiyun Liu, Qi Zhang, Yonghong Liu, Xiaodong School of Software Nanjing University of Information Science and Technology Nanjing China School of Computer Science Nanjing University of Information Science and Technology Nanjing China School of Automation Nanjing University of Information Science and Technology Nanjing China School of Computing Edinburgh Napier University Edinburgh United Kingdom

ISBN: (纸本)9798350304602

In recent years, the frequency of extreme precipitation events in urban areas has increased significantly, and the resulting disaster events have serious negative impacts on residents' daily lives. To take timely measures so as to reduce the losses caused by these events, meteorological engineers often perform extrapolation operation using maps sensed by urban weather radars, and then make now casting to estimate the intensity and extent of possible precipitation events. At present, deep learning techniques have been introduced to extrapolation tasks for their wide applicability to various conditions and their ability to mine potential patterns from large amounts of historical data. They obtained better results than traditional extrapolation methods. However, due to structural defects of these models themselves and the extremely uneven distribution of intensity values in radar echo maps, those high-intensity echoes that are closely related to potential severe convective weather events in maps predicted by existing deep models are often underestimated. To alleviate this problem, the MMST-LSTM, a structurally improved recurrent unit, is proposed in this paper, whose ability to capture and simulate the changing dynamics of high-intensity echoes is enhanced. The results of experiments that conducted on a radar echo dataset show the performance improvement of MMST-LSTM, and the alleviation of the intensity-underestimation problem in extrapolated maps compared with previous representative methods. © 2023 IEEE.

关键词： Extrapolation

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