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检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4197 条记录，以下是401-410 订阅

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the Classification Method for Risks of Dropout Students: A Case Study of Vocational Students 7

The Classification Method for Risks of Dropout Students: A C...

引用

7th international conference on Digital Arts, Media and technology, DAMT 2022 and 5th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, NCON 2022

作者： Yaibuates, Mayoon Kantawong, Krittika Pravesjit, Sakkayaphop Yoddumnern, Anekwong Chaichumpa, Sataworn Chiang Rai Rajabhat University School of Computer and Information Technology Chiang Rai Thailand University of Phayao School of Information and Communication Technology Phayao Thailand Chiangrai Vocational College Chiang Rai Thailand

ISBN: (纸本)9781665495103

the paper proposes the new classification methodology using risk distance (RD). From 553 example students in the Chiang Rai Vocational College, dropout risk factors were chosen. the method was applied to classify the dropout examples using the risk factors. After that, the K-nearest neighbor (KNN) and the Artificial neural network (ANN) were applied to verify the accepted results. the experiment found that both KNN and ANN provide superb results by this proposed. It proves that the proposed methodology is efficient to use in the Vocational college that can help staff to prevent students from dropout of college in time. © 2022 IEEE.

关键词： Students

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Application of the Refactoring to the Understandability and the Cognitive Complexity of a Software 7

Application of the Refactoring to the Understandability and ...

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7th IEEE international conference for Convergence in technology, I2CT 2022

作者： Wijendra, Dinuka R. Hewagamage, K.P. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka University of Colombo School of Computing Department of Information Systems Colombo Sri Lanka

ISBN: (纸本)9781665421683

Cognitive complexity of a software determines the methodology of comprehending the internal logic of a given software by an individual, quantitatively. the procedure of handling a software by different users is different, which results the cognitive complexity as a subjective measurement. the quantification of the cognitive complexity is still not standardized due to the varied number of factors affected for the cognitive complexity determination and its nature of the subjectivity. this paper evaluates the relationship between the cognitive complexity and understandability as one of the qualitative factors to determine the cognitive complexity and the usage of refactoring techniques to reduce the cognitive complexity without refraining its calculation process with respective to the internal logic of the software as in other standard software complexity metrics perform. © 2022 IEEE.

关键词： computer circuits

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Research on Real Time Tracking Method of Multiple Moving Objects Based on Machine Vision 7th

Research on Real Time Tracking Method of Multiple Moving Obj...

引用

7th EAI international conference on Advanced Hybrid information processing, ADHIP 2023

作者： Wang, Yuan Wuhan Institute of Design and Sciences Wuhan430205 China

ISBN: (纸本)9783031505515

In the process of real-time tracking of multiple moving targets, there is a big gap between the tracking effect and the ideal effect due to the influence of the objective environment state. therefore, a real-time tracking method of multiple moving targets based on machine vision is proposed. A machine vision acquisition unit including lighting device, camera, image acquisition card, processing system and control actuator is constructed. At the same time, in order to avoid the impact of outdoor extreme weather on image acquisition effect, MF-DSC03 with waterproof function and automatic light compensation function is used as the camera head device. In the phase of real-time tracking of multiple moving targets, based on HSV color features and apparent features in real-time video image data of multiple moving targets captured by machine vision, iterative tracking of the state of multiple moving targets is realized by means of KM bipartite graph matching algorithm. In the test results, the design method outperforms the control group in multi-target tracking performance on different data sets, showing an ideal tracking effect. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： computer vision

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A Review of Penetration Testing Frameworks, Tools, and Application Areas 7

A Review of Penetration Testing Frameworks, Tools, and Appli...

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7th international conference on information technology, information Systems and Electrical Engineering, ICITISEE 2023

作者： Adam, Helmi Mahditia Widyawan Putra, Guntur Dharma Universitas Gadjah Mada Department of Electrical Engineering and Information Technology Yogyakarta Indonesia

ISBN: (纸本)9798350382266

Both government and private organizations are rapidly fortifying their cybersecurity measures to cope with recent trends in cyberattacks. In general, these attacks target several critical infrastructures including computer networks, web applications, and IoT devices. One of the strategies to reduce the risk of cyberattacks is penetration testing. Penetration testers use the same as the malicious attacker tools, and frameworks to try to penetrate systems to find vulnerabilities before launching adverse cyberattacks. the present study examines cybersecurity penetration testing frameworks that have been widely implemented as well as frameworks from the development of existing frameworks. And examines reviews use of tools in each stage of testing and focusing on specifics platform area is guided by the research question, so it refers to selection of papers for review. this research reviewed 30 relevant papers between 2018 and 2022 from conference proceedings and leading journals. Our analysis indicates that the top penetration testing frameworks and tools frequently used by organizations or individuals tend to focus on web-based applications. Each framework provides certain techniques and a certain sequence of stages in penetration testing, although they differ slightly, the methodology is general. In addition to the web platform, there are other platforms including computer networking, IoT, and mobile applications. We note that most penetration testing frameworks still suffer from inherent challenges, which carve the path for future research directions. © 2023 IEEE.

关键词： Internet of things

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Research Status and Challenges of Deep Learning-Based Remaining Useful Life Prediction of Equipment 7

Research Status and Challenges of Deep Learning-Based Remain...

引用

7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Sun, Junjie Zheng, Lehui Huang, Ying University of Capf Graduate School Engineering Xian China University of Capf College of Information Engineering Engineering Xian China

ISBN: (纸本)9781665478571

With the development of modern science and technology, aviation, aerospace, satellite and other equipment are developing in the direction of high reliability, safety and stability, which puts forward higher requirements for the performance of components. In order to ensure the normal operation of complex equipment, the remaining useful life (RUL) prediction technology has been widely concerned by researchers. Deep learning emerging in recent years has powerful data processing capabilities and feature expression capabilities, realizing autonomous learning of model parameters and providing accurate RUL prediction results. In view of this, four typical deep learning methods applied to RUL prediction are analyzed and elaborated in detail, and the research status of each method is combed. then the corresponding advantages and disadvantages are sorted out through experiments. Finally, the future research directions of deep learning-based RUL prediction are discussed. © 2022 IEEE.

关键词： Forecasting

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SLAM Algorithm Integrating Semantic and Point Cloud information 7

SLAM Algorithm Integrating Semantic and Point Cloud Informat...

引用

7th international conference on Imaging, Signal processing and Communications, ICISPC 2023

作者： Yang, Songxiang Ma, Lin Qin, Danyang Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Heilongjiang University School of Electronics Engineering Harbin China

ISBN: (纸本)9798350325072

the SLAM algorithm assumes that the collected scene is static during the process of localization and mapping. However, it is inevitable to encounter interference from dynamic objects such as pedestrians in the actual usage process, which will seriously affect the stability of the system. Although there is no mismatch, the matching pairs on dynamic objects do not conform to the geometric relationship between the two views, which can affect the accuracy of the pose solution. At the same time, the movement of dynamic objects will also affect the matching effect. In addition, introducing feature points on dynamic objects into the global map will affect optimization performance and interfere with the matching of visual localization. To address these issues, this paper proposes a SLAM algorithm that integrates semantic and point cloud information. Firstly, the input images are performed object detection, then dynamic points are deleted in the detection area by using multi-view geometric relation, and finally static points and semantic information are used to obtain the pose solution. Simulation and experimental results show that the proposed algorithm can effectively improve the robustness of the SLAM system in dynamic environments. © 2023 IEEE.

关键词： Object detection

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Cloud-edge collaborative data processing architecture for state assessment of transmission equipments 7

Cloud-edge collaborative data processing architecture for st...

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7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Chen, Honghu Zhou, Te Yang, Chao Li, Qiang Peng, Bo Cheng, Qing Southwest University of Science and Technology School of Information Engineering Mianyang China Tsinghua University Sichuan Energy Internet Research Institute Chengdu China

ISBN: (纸本)9781665478571

In the process of asset status assessment, the power transmission intelligent Internet of things (IoT) with smart towers as the core IoT nodes faces many problems such as large workload of physical information, poor data quality, large data processing delay and heavy cloud computing pressure. At the same time, traditional front-end sensing equipment is limited by the actual hardware computing power level and low power consumption requirements, which makes the front-end algorithm low in intelligence and consumes a lot of manual data verification. In view of the above problems, this paper proposes a cloud-edge collaborative data processing architecture suitable for transmission asset status assessment by combining big data framework, deep learning and edge computing technology. the architecture clearly divides the functions of the cloud, edge and data terminals based on the status assessment requirements of power transmission assets, and then divides a part of the data processing and analysis operations in the cloud to the edge, which reduces the computing pressure on the cloud and enhances resources utilization rate. © 2022 IEEE.

关键词： Edge computing

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Application of Remote Sensing for Drought Monitoring with NDVI-based Standardized Vegetation Index in Nan Province, thailand 7

Application of Remote Sensing for Drought Monitoring with ND...

引用

作者： Pachanaparn, Chatpong Jeefoo, Phaisarn Rojanavasu, Pornthep University of Phayao School of Information and Communication Technology Geographic Information Science Phayao Thailand University of Phayao Research Unit of Spatial Innovation Development Geographic Information Science School of Information and Communication Technology Phayao Thailand University of Phayao Computer Engineering School of Information and Communication Technology Phayao Thailand

ISBN: (纸本)9781665495103

the objective of the study is to develop a methodology to detect drought in Nan province, northern part of thailand using vegetation spectrum in different period of the satellite passing approximately 11,420 ***. the Normalized Vegetation Index (NDVI) obtained from the MODIS data has been used in order to detect the vegetation condition in the study area. In addition, the Standardized Vegetation Index (SVI) was used to examine the area with the NDVI difference from the average value of NDVI in the same period. this can reflect the drought through the vegetation index. the study has discovered that in the year 2018, the drought in the area was the most severe. the second and the third most severe drought occurred in 2016 and 2020 respectively. this will be useful for the preparation of the drought mitigation in the area for concern agencies. © 2022 IEEE.

关键词： Remote sensing

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A GNSS Interference Detection Method by using Radon-Wigner transform 7

A GNSS Interference Detection Method by using Radon-Wigner t...

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7th international conference on Intelligent Computing and Signal processing, ICSP 2022

作者： Zheng, Yifei Sun, Kewen Chen, Yuanyuan Hefei University of Technology School of Computer and Information Hefei China

ISBN: (纸本)9781665478571

Aiming at the problem that the traditional methods of modern satellite navigation interference detection can not deal with multi-component interference, a two-component scanning interference global navigation satellite system (GNSS) signal detection method based on Radon-Wigner transform (RWT) is proposed in this paper. Two linear frequency modulation (LFM) interferences are added to the GPS-L1 C/A signal for simulation experiments. Experimental results show that the proposed method can effectively suppress cross-term interference generated by Wigner-Ville distribution (WVD) in processing multi-component signals and detect the characteristic parameters of time-varying interference at cross frequency. At the same time, compared with the Wigner-Hough transform (WHT), this method can detect the two LFM interference with cross frequency in GPS-L1 C/A signal, suppress the unnecessary interference cross-term, show satisfactory energy aggregation characteristics, and effectively improve the detection performance of GNSS software receiver. © 2022 IEEE.

关键词： Hough transforms

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7th international conference on information, Communication and Computing technology, ICICCT 2022

7th International Conference on Information, Communication a...

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7th international conference on information, Communication and Computing technology, ICICCT 2022

ISBN: (纸本)9783031209765

the proceedings contain 11 papers. the special focus in this conference is on information, Communication and Computing technology. the topics include: A Systematic Study on LoRa Communication in IoT: Implementation Challenges and Research Solutions;A Low Complexity CFO Reduction Technique for LFDMA Systems;DICCh-D: Detecting IPv6-Based Covert Channels Using DNN;image Caption Generation for Low Light Images;a Study on Feature Selection for Gender Detection in Speech processing for Assamese Language;Bengali Fake News Detection: Transfer Learning Based Technique with Masked LM Process by BERT;crowd Counting Using Federated Learning and Domain Adaptation;news Headline Generation Using Abstractive Text Summarization;preface.

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