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

共 761 条记录，以下是381-390 订阅

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Application of Improved Immune Algorithm in Flow Shop Scheduling 3

Application of Improved Immune Algorithm in Flow Shop Schedu...

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3rd international conference on Artificial Intelligence and Electromechanical Automation, AIEA 2022

作者： Xiao, Li Shao, Xiaohong Department of Computer Science Ezhou University HuBei Ezhou China Library of Ezhou University HuBei Ezhou China

ISBN: (纸本)9781510657281

In order to solve the flow shop problem efficiently, an immune algorithm is proposed to solve the flow shop scheduling problem. The algorithm is designed according to the immune system mechanism of human or other higher animals, takes the scheduling objectives and constraints as the antigen, takes the solution of the problem as the antibody, encodes the antibody with natural numbers according to the workpiece processing order, and takes the reciprocal of the maximum process time as the fitness function. Through the introduction of isolation niche and other technologies, the adaptability of the immune algorithm is improved, the diversity of the population is ensured, and the premature convergence is overcome, The convergence speed is improved. The benchmark test of flow shop problem shows that the algorithm not only has good scalability in the scale of solving the problem, but also is lower than tabu search algorithm and simulated annealing algorithm in operation time, which verifies the effectiveness of the algorithm. © 2022 SPIE.

关键词： Antigens

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Fault Feature Extraction and Diagnosis Method Based on Multi-Channel Feature Fusion Residual Network 3

Fault Feature Extraction and Diagnosis Method Based on Multi...

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3rd international conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Yu, Hu Miao, Xiaodong Ping, Fan Xun, Zhiwen Gu, Yinji School of Mechanical and Power Engineering Nanjing Tech University Nanjing China School of Computer Science and Technology Nanjing Tech University Nanjing China

ISBN: (纸本)9781665492812

Density equalization for multichannel features is a research priority, especially considering the complexity of the signal features generated by industrial rotating parts. To balance the density of complex features in different channels, we developed a new deep learning model named a residual network (ResNet) with multichannel weighting (ResNet-MCW). We applied it to feature extraction and fault diagnosis of bearing vibration signals. The results show that the proposed method obtains fairly high diagnostic accuracy and is superior to the traditional deep learning methods for the rolling bearing datasets. © 2022 IEEE.

关键词： deep learning fault diagnosis feature fusion vibration signal

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Application of computer Artificial Intelligence Online Video Tutoring Technology in University Practical Course Education 3

Application of Computer Artificial Intelligence Online Video...

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3rd international conference on computers, Information processing and Advanced Education, CIPAE 2022

作者： Huang, Jinyi Zhang, Xiaofang Guangxi Science and Technology Normal University Laibin China

ISBN: (纸本)9781665468121

Nowadays, various types of educational websites, online schools, and online education colleges are booming, and online teaching has become a useful supplement to traditional teaching. It not only effectively improves the allocation of teaching resources, but also solves the problem that traditional teaching is limited by time and space. This paper puts forward the design idea of using J2EE technology system as the structural framework to develop network courses, and describes the process of system development using J2EE technology system in detail. This system is a network application software developed by JSPServlet, bean, JDBC and other related Java technologies according to the J2EE standard. The development of the system is based on the multi-layer architecture of Web server, application server and database server. This multi-layer structure can separate the business logic, user interface, content display and other parts of data processing, so that the business logic of the system is concentrated in the Application level. Using the reusability and cross-platform nature of JavaBean components, complex and large-scale platform applications can be rapidly developed and re-developed. © 2022 IEEE.

关键词： Curricula

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RSSI: Overboard Localization System 3

RSSI: Overboard Localization System

引用

3rd international conference on Power, Energy, Control and Transmission Systems, ICPECTS 2022

作者： Sarkar, Swagata Shrinithi, G.R. Hemanth, M. Sudharsan, S.C. Chakkaravarthi, Sumesh Sri Sairam Engineering College Artificial Intelligence & Data Science Chennai India

ISBN: (纸本)9781665462754

A wireless sensor network (WSN) is an onboard processor that helps to manage and monitor the environment within a limited area. The work proposed here with WSN and overboard localization system is based on measuring the received signal strength indicator (RSSI) between fishermen or sailors in a boat to the control room in the port. The technology of RSSI is to provide location-based positioning and details of time despite all climatic conditions and even anywhere and at any time. This paper defines implementing a border identification system and safe evacuation in the boats to help the fishermen during emergencies. However, it is not that powerful to check the crime against fishermen, it gives only information about the border identification with the exact distance that the boat has traveled away from the border The proposed system's transmitter section includes an Arduino Mega microcontroller, RSSI module, voice playback circuit, and DC motor. The proposed system gives a warning when theboat crosses the sea border with a sound sensor. As the boat moves, the zone at which the boat and the signal strength will be displayed on the monitor placed in the port. During an emergency, an alert message is sent to the mobile phone or monitor. The receiver section has an RSSI and a personal computer/mobile phone for monitoring the database in the control room in the port. Localization is based on the weighted least mean squares (LMS) algorithm. This measurement offers better localization rate compared to other RSSI -based algorithms for localization. © 2022 IEEE.

关键词： Zigbee

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A Detection and Information processing Model Based on an Automatic Mechanism for Tax Payment Control in Developing Countries 1

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

作者： Havyarimana, Vincent Niyibikora, Patient Hanyurwimfura, Damien Semong, Thabo Department of Applied Sciences Burundi Higher Institute of Education Bujumbura6983 Burundi College of Science and Technology University of Rwanda Kigali3900 Rwanda Department of Computer Science and Information System Botswana International University of Science and Technology Palapye10071 Botswana

ISBN: (数字)9783031289903

ISBN: (纸本)9783031289897

The foundation of humanity is nowadays based on ways of living that can take many forms including controlling living conditions, reappraising work practices and developing new technologies. However, most of these activities are done to satisfy people’s needs, but they have a negative impact on their health and well-being. This is the reason why man seeks ways to develop and protect himself from fatigue and anything that can harm his health by using modern technology that reduces the consumption of resources. Recently, the most used modern technology is based on the "automatism" model which is very useful in multiple fields. The technology of automated systems is rapidly evolving in terms of components, structures, advanced control systems and application areas. The objective of this paper is to implement an automatic mechanism to ensure a better and wonderful control when collecting taxes especially in developing countries. The proposed mechanism is based on a case of paying parking tax. The mechanical part of our system is controlled by an ArdUINO micro controller under which works in parallel with a Windows application on a computer to control a servomotor that operates the barrier. The detection of the coordinates of the taxpayer is done using the radio frequency identification. This control model is composed of detection and information processing system and a mobile barrier whose structure is adapted to the opening or closing geometry of the taxpayer passage. © 2023, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Taxation

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Fire Patrol Path Planning Based on Improved Ant Colony Algorithm 3

Fire Patrol Path Planning Based on Improved Ant Colony Algor...

引用

3rd international conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2022

作者： Zhang, Xingchao Tao, Tao Zhang, Huiyi School of Computer Science & Technology Anhui University of Technology Ma'anshan243032 China

With the rapid development of social economy and science and technology, fire hazards in all walks of life emerge in an endless stream, and the difficulty of fire prevention and control is gradually increasing. Aiming at the problem of fire patrol path planning, based on the classic ant colony algorithm, an adaptive improved ant colony algorithm is proposed to solve the problems of slow convergence and low efficiency of the classical ant colony algorithm. Matlab simulation experiments show that the ant colony algorithm can improve the efficiency of the algorithm while ensuring the found of the optimal path after adaptively changing the pheromone volatile factor and differentially processing the pheromone constant. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0)

关键词： Motion planning

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Research on a new improved UAV anti-jamming and optimization model 3

Research on a new improved UAV anti-jamming and optimization...

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3rd international conference on computer science and Communication Technology, ICCSCT 2022

作者： Zhang, Longqing Zhang, Xinwei Yang, Lei Tian, Liwei Chen, Yungui Zhang, Yanghong Li, Peipei Guangdong University of Science and Technology Guangdong Dongguan523083 China

ISBN: (纸本)9781510661240

In complex environments, UAV wireless sensing networks suffer from path loss, incomplete channels, swarm access security and other problems, and the signal fading and packet loss rates are very obvious. In order to solve the problem of user control data security, this paper gives full play to the characteristics of blockchain technology and builds a blockchain-based UAV cluster anti-interference communication network in UAV cluster applications to achieve anti-interference performance. Meanwhile, Markov decision process is used to optimize and realize the research of UAV air-ground integrated radio wave anti-interference. © 2022 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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A Review on Iris Recognition System using Machine and Deep Learning 3

A Review on Iris Recognition System using Machine and Deep L...

引用

3rd IEEE international conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022

作者： Panwar, Vaibhav Pooja Sharda University Department of Computer Science and Engineering UP Greater Noida India

ISBN: (纸本)9781665462006

For security purposes, the use of an Iris Recognition System has become standard practice. It is possible to achieve accurate results by employing Iris recognition. Since it never accepts fraudulent values, it is an excellent security tool. In the search for one of the most dependable and accurate biometric technologies available today, Iris recognition is a fantastic location to begin the research. Because of the complex texture of the Iris, which provides strict requirements for identifying individuals, Iris identification systems have caught the interest of many researchers. And its extensive use around the world, Iris recognition has made remarkable strides in recent years. The survey details the Iris recognition technology from the stage of data collection to recognition. Iris recognition involves several procedures, including image capture, pre-processing, feature analysis, recognition, and evaluation. Machine learning and deep learning are taken in this article for Iris recognition. A closer look at the essential concepts of various techniques, as well as their inherent connections, will help the researcher to obtain a better understanding of the development of the Iris recognition system. Although many research and review articles have previously been published in this area, we utilized the knowledge from those articles to identify some unexplored areas of iris recognition for researchers. This study will be the beginning for researchers to start their work. © 2022 IEEE.

关键词： Deep learning

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Audio to Sign Language conversion using Natural Language processing 3

Audio to Sign Language conversion using Natural Language Pro...

引用

3rd international conference on Communication, Computing and Industry 4.0, C2I4 2022

作者： Nayana, J. Bhat, Suparna Nair, Rekha R Babu, Tina School of Engineering Department of Computer Applications Dayananda Sagar University Bengaluru India School of Engineering Department of Computer Science and Engineering Dayananda Sagar University Bengaluru India

ISBN: (纸本)9781665474979

People who are deaf never get to enjoy things that hearing folks do, whether it's conversation, playing the game, going to seminars, or participating in virtual meetings, for example. The major challenge they have while interacting among regular people is connection, because every regular person has no concept what sign language is or how it works.. Our project's objective is to help those who have hearing loss develop a system for communication. The spoken message is converted into signs. It converts the spoken word into signs. This system receives voice as inputs, converts the soundtrack into a text, and displays the key symbols used in Indian language using well before graphics or GIFs. The use of this technology makes communication between those who have normal hearing and those who are difficult to hear easier This takes into account how your arms, body, and appearance are combined. Around the universe, there really are 135 different varieties of hand signals. There are numerous different sign languages, including American Sign Language (ASL), Indian Sign Language (ISL), British Sign Language (BSL), Australian Sign Language (Auslan), and many more In this initiative, Indian Sign Language is being used. The deaf community may take advantage of all the activities that hearing people engage in, from social engagement to accessing information, thanks to this technology. NLP is used to pre-process the text (Natural Language processing). With the help of this technology, hearing-impaired people may participate in a wide range of activities, from socialising to accessing information NLP is used to post the text (Natural Language processing). This programme converts audio into text, displays Indian sign language, and then accepts speech as input. Accuracy rate for the planned project work is 99%, and Validation accuracy is 96%. © 2022 IEEE.

关键词： component formatting insert style styling

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Exploration and Practice of Course Homework Metaverse Based on Extended Reality Under Edge Computing 1

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

作者： Fu, Jinrong Liu, Yiwen Yan, Haobo Gao, Yanxia Xiao, Jianhua 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

The metaverse originated from science fiction at first, but it gradually came into reality with the continuous power of technology. Aiming at the problems of course work in Chinese universities, such as its function is weakened or suppressed, its form is too abstract, and it lacks elaborate design, this paper proposes a design method of course work meta-universe based on extended reality under edge computing. XR technology is used to realize the interactive immersion of the coursework meta-universe, in order to improve students’ learning enthusiasm and ability to solve abstract problems. Based on the international perspective, this paper systematically combs and analyzes the integration architecture, application scenarios and future trends of the meta-universe education application based on Edge computing (MEC). Four key processes are described: teacher-student interaction, data collection, data feedback and comprehensive evaluation. In order to promote the application of the metaverse in the field of education to provide mirror. The validity of the method is illustrated by the data. © 2023, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Edge computing

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