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

共 68829 条记录，以下是811-820 订阅

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A Multi-Channel Wireless Power Transfer Method for Electric Vehicles Based on Magnetic Field Coupling 3

A Multi-Channel Wireless Power Transfer Method for Electric ...

引用

2023 IEEE 3rd international conference on Data science and computer Application, ICDSCA 2023

作者： Wu, Xiaorui Gong, Wenlan Xiao, Jing Chen, Shaonan Mo, Yuhong Deng, Renwei Electric Power Research Institute of Guangxi Power Grid Co. Ltd Southern Power Grid Corporation Wireless Power Transmission Joint Laboratory Nanning China Chongqing University College of Automation Chongqing China

ISBN: (纸本)9798350341546

With the continuous development of electric vehicles, wireless power transfer technology has emerged as a new way to supply electric energy to these vehicles. However, the traditional approach of one charging station matching one electric vehicle is no longer sufficient to meet the demand for energy supply. In this regard, this paper proposes a multi-channel wireless power transfer method for electric vehicles based on magnetic coupling. This method can meet the energy supply requirements of multiple electric devices with a single charging station. This paper also provides a charging flowchart and power allocation method to enable efficient utilization of the charging station's power capacity and meet the demands of electric devices. Finally, a simulation model is presented and verified. © 2023 IEEE.

关键词： Multi-Channel Power Allocation Wireless Power Transfer

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Research on Information Security Assessment Method Based on Automated Testing 3

Research on Information Security Assessment Method Based on ...

引用

3rd international conference on Blockchain technology and Information Security, ICBCTIS 2023

作者： Yan, Honghong Zhou, Qianming Xue, Tao School of Computer Science Xi'an Polytechnic University Xi'an China

ISBN: (纸本)9798350340402

UI testing is an important part of software testing, as it provides testing integrity and can maximize the discovery of software quality issues. In the software testing process/information security is undoubtedly the most basic requirement. Currently, the most typical UI automation testing tools are Selenium and Uiautomator, where Selenium is mainly used for UI automation testing of web projects and Uiautomator is mainly used for UI automation testing of Android mobile apps. Using Selenium and Uiautomator for UI automation testing often involves simulating various user behaviors through automation scripts to operate the software and discover software vulnerabilities and security risks. During the testing process, the main issues involved are data security and code security. UI automation testing requires the use of real data for testing, such as user accounts, passwords, bank card numbers, and other sensitive information. If these are leaked or tampered with, it can lead to serious losses. Additionally, \i there are code vulnerabilities in the testing script code itself, it can result in the testing results being tampered with, affecting the quality of the testing. To address these issues, this paper proposes applying OCR technology to UI automation testing For sensitive data issues, OCR is used to recognize and obtain the information. For testing results, OCR technology is used to obtain the test result information on the screen. Practical tests have shown that applying OCR technology to actual project testing scenarios can effectively solve data security and code security issues in testing. This solution has high practical value. © 2023 IEEE.

关键词： Selenium

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Design and analysis of buffer mechanism based on dumbbell type throwing robot

Design and analysis of buffer mechanism based on dumbbell ty...

引用

2023 international conference on automation Control, Algorithm, and Intelligent Bionics, ACAIB 2023

作者： Gao, Xinlan Chen, Chuanzhi Yang, Boxian Bu, Yixin College of Astronautics Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing210016 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing210016 China

ISBN: (纸本)9781510667662

On account of the special properties, throwing robot can be used as a military robot, which is suitable for detection, anti-terrorism, harsh environment detection and other scenarios, and has a good application prospect. In this paper, a buffering pleated mechanism based on dumbbell type throwing robot are proposed. The buffering energy absorption characteristics of pleated structure are compared and simulated by FEM based on Abaqus software. Designed for water and land patrol, the throwing robot contains two symmetrical trailing wheels coupled with the pleated structure to meet the requirement of balance. The results show that the buffer mechanism is compact, economical and possesses a high space utilization rate, reflecting its practical value. © 2023 SPIE.

关键词： Robots

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Learning Analytics in Blended Mode During Covid-19 Pandemic 7

Learning Analytics in Blended Mode During Covid-19 Pandemic

引用

2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Tejal, R.K. Kanchana, V. Amrita Vishwa Vidyapeetham Department of Computer Science Mysuru India

ISBN: (纸本)9798350304268

Personality and behavior are great factors when considering students' learning strategies. Students tend to utilize their best capacity when the environment around them is comforting and the situation go hand in hand with their personality. Learning analytics is a study based on theories and until recently, was not a topic any researcher would show interest in. During 2019- 2020, a severe change was caused not only to students but the entire education system when the Covid-19 pandemic was caused. Exploring the factors which affected students' performance during and after the pandemic is a topic yet to be researched. This entire study is based on students' feedback on their performance during and after the pandemic has nearly ended © 2023 IEEE.

关键词： Anova blended learning data mining Learning analytics SVM-Support vector machine

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Performance analysis of VCSEL-based reservoir computing system under arbitrary-polarization optical feedback 4

Performance analysis of VCSEL-based reservoir computing syst...

引用

4th international conference on Telecommunications, Optics, and computer science, TOCS 2023

作者： Yue, Dianzuo Hou, Yushuang Zang, Cunru Kou, Yingzhe School of Mathematics and Information Science & Technology Hebei Normal University of Science and Technology Qinhuangdao066004 China School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China

ISBN: (数字)9781510679849

ISBN: (纸本)9781510679832

A reservoir computing system (RC) based on a vertical cavity surface emitting semiconductor laser (VCSEL) subject to arbitrary-polarization optical feedback is proposed, and its performance for predicting Santa-Fee time series is numerically analyzed. Taking advantage of the fact that the light emitted by VCSEL has two polarization components, a tunable polarization wave plate is placed in the feedback loop to adjust the polarization angle of the feedback light. The influences of system typical parameters on the prediction error of such a RC system have been analyzed in detail. Through optimizing the parameters of feedback strength, injection coefficient and polarization angle, the prediction error of 3% can be realized for the reservoir computing system. © 2024 SPIE.

关键词： Optical feedback

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Unequally Yoked [Skilled]: Transformative Views on Human-automation Skilfulness

Unequally Yoked [Skilled]: Transformative Views on Human-Aut...

引用

2023 IEEE international conference on Electrical, computer and Energy Technologies, ICECET 2023

作者： Mbelekani, Naomi Y. Bengler, Klaus Ergonomics Munich Germany

ISBN: (纸本)9798350327816

The future sees a move towards highly automated vehicles (HAV). Thus, the aim for many developers is to enhance proficiency by amplifying safety-induced HAV operation. However, there are long-term effects and challenges to overcome. Such as understanding users' manual operation skills/abilities (MOS/A) and automation operation skills/abilities (AOS/A). For example, effects on performance and skills atrophy due to automation-induced complacency, etc. As technology is unruly and prone to error, humans by law must be situationally aware and active participants. Thus, their MOS/A are required to be impeccable. In this paper, the aim is to comprehend human-automation skillfulness (HAS) over long-term interaction. Therefore, we explored knowledge levels from N=20 AV experts. As a result, we relate transformative views on long-term effects and HAS. © 2023 IEEE.

关键词： Automated Vehicles Deskilling Human-automation Skilfulness (HAS) Long-term effects Reskilling Upskilling

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Research on an Innovative Feature Importance Recognition Algorithm Based on GINI-OOB Index

Research on an Innovative Feature Importance Recognition Alg...

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2023 IEEE international conference on Image Processing and computer Applications, ICIPCA 2023

作者： Chen, Jiayi Tan, Rui Yang, Ying School of Automation Science and Engineering South China University of Technology Guangzhou510620 China College of Information Shanghai Ocean University Shanghai201306 China College of Information and Intelligence Hunan Agricultural University Changsha410125 China

ISBN: (纸本)9798350314670

Based on the decision tree algorithm (CART), this paper constructs an integrated model and trains the random forest algorithm (RF). On this basis, the GINI coefficient and the OOB coefficient are derived respectively and the coupling of the two is studied. Based on 10 importance indicators for training and learning, a more efficient, accurate and robust importance recognition algorithm is proposed. The results show that: (1) There are significant differences in the results of coupling Gini index and OOB index in different aspects, and the improved algorithm has stronger importance recognition accuracy. (2) The recognition algorithm proposed in this paper can identify the importance of financial risks. The research in this paper expands the identification methodology of importance. © 2023 IEEE.

关键词： Decision trees

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Target tracking algorithm based on node height regulate and considering node moving energy consumption

Target tracking algorithm based on node height regulate and ...

引用

2023 international conference on automation Control, Algorithm, and Intelligent Bionics, ACAIB 2023

作者： Peng, Duo Liu, Zhenxue School of Computer and Communication Lanzhou University of Technology Gansu Lanzhou730050 China

ISBN: (纸本)9781510667662

Aiming at the problem of low tracking accuracy caused by the sparse deployment of UWSN nodes in the process of target tracking based on underwater wireless sensor network (UWSN), a target tracking algorithm based on the regulate of node height and the consideration of node mobile energy consumption is proposed. First of all, the optimal height solution methods are given when the target height is known and unknown. Secondly, a dynamic coefficient is introduced to adjust the weight between tracking accuracy and energy consumption, and an objective function is established to comprehensively consider the target tracking accuracy and node moving energy consumption, so as to realize the dynamic regulate of node height. The simulation results show that the algorithm can achieve good and stable tracking effect and effectively reduce the energy consumption caused by node movement. © 2023 SPIE.

关键词： Energy utilization

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SEREVIT: A Novel Vision Transformer Based Double-Attention Network for Detecting Pneumonia 2

SEREVIT: A Novel Vision Transformer Based Double-Attention N...

引用

2nd international conference on automation, Robotics and computer Engineering, ICARCE 2023

作者： Zhu, Ning Sheng, Jiahao Toe, Teoh Teik Glasgow College University of Electronic Science and Technology of China Chengdu China Nanyang Technological University Ntu Business Ai Lab Singapore

ISBN: (纸本)9798350308341

Pneumonia, a severe respiratory infection, is a primary cause of morbidity all over the world. Precise detection of pneumonia in its early stage is important for effective patient management and treatment. Chest X-ray is the most commonly used method for detecting pneumonia. However, diagnosis through visual inspection can be time-consuming and often leads to misdiagnosis. In this paper, we propose a novel deep learning architecture to improve the accuracy and efficiency of pneumonia detection. Our model, SEREVIT, a Vision Transformer based Double-Attention Network, could be divided into two parts. The first part is a feature extraction block applying Resnet50 with squeeze and excitation attention mechanisms. The second part employs a Vision Transformer classifier, applying the second attention mechanism. Our model, in comparison to traditional CNNs and ViT, demonstrates improved performance, with accuracy rates of 99.6% during training and 95.6% during validation in chest X-ray dataset (from Kaggle). This performance is evaluated using various metrics, including recall, precision and F1-score, all of which show noticeable improvements. The proposed method could greatly aid in the clinical diagnosis of pneumonia, potentially improving patient outcomes and healthcare efficiency. © 2023 IEEE.

关键词： Image classification

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Study and Identification of Various Factors for Outbreak Classification Towards Sustainable Healthcare Sector

Study and Identification of Various Factors for Outbreak Cla...

引用

2023 international conference on IoT, Communication and automation technology, ICICAT 2023

作者： Saluja, Ishan Sharma, Shanu Amity University Department of Computer Science & Engineering Uttar Pradesh India Abes Engineering College Department of Computer Science & Engineering Ghaziabad India

ISBN: (纸本)9798350302820

Recently the world has witnessed a global outbreak, where the spread of Coronavirus was declared a pandemic situation due to its global spread. In past also, epidemic and the pandemic situation has been observed due to SARS, H1 N1 influenza, etc. During a global health emergency i.e., during the pandemic situation, there is always a need for a huge number of medical facilities, etc. throughout the world. The shortage of these facilities can cause a loss of a plethora of lives. The spread of any virus or the phase of conversion of an epidemic or endemic situation into a pandemic situation can be tracked by measuring or tracking important parameters, and a timely classification and prediction of a pandemic situation can help the world in every sense. In this paper, an outbreak classification framework is presented to predict the pandemic situation from an endemic situation. To achieve this goal, a rigorous study has been done on various existing resources such as WHO, CDC, etc. to identify important factors for modeling the proposed system. Various factors such as Mode of transmission, Infectiousness, Contagiousness of disease, Incubation Period, Contagiousness of the Asymptomatic Carriers, Severity, Population Density, and Herd Immunity are identified. Furthermore, to test the efficacy of the identified factors, SVM and Random Forest-based classification models are developed for outbreak classification. The identified features are able to generate accuracy of 84.09 and 90.90% which shows their applicability for predicting outbreaks. © 2023 IEEE.

关键词： Support vector machines

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