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EAI Endorsed Transactions on Energy Web 2024年 11卷 1-7页

作者： Guan, Xin Mu, Qizheng Yin, Xiaoju Wang, Yuxin Department of Renewable Energy Shenyang Institute of Engineering Shenyang110136 China Collage of Computer and Information Engineering Tianjin Agricultural University Tianjin300387 China

INTRODUCTION: As a renewable and clean use of energy, wind power generation has a very important role in the new energy generation industry. For the many parts of various wind turbines, the safety and reliability of wind turbine blades are very important. OBJECTIVES: The energy spectrum simulation algorithm included in the wavelet analysis method is used to simulate and analyzewind turbine blade damage, to verify the correctness and validity of wind turbine blade damage analysis. METHODS: Matlab simulation is used to introduce the experiments related to the static and dynamic detection of fiber grating sensors, analyze the signal characteristics of the wind turbine blade when it is damaged by the impact, and provide a basis for the analysis of the external damage of large wind turbine blade. RESULTS: The main results obtained in this paper are the following. By analyzing the decomposition of wavelet packets, the gradient change of wavelet impact energy spectrum before and after the wavelet damage was obtained and compared with the histogram, and the impact energy spectrum of each three-dimensional wavelet energy packet in the image was compared and analyzed, which can well realize the recognition of wavelet damage gradient for solid composite materials. CONCLUSION: With the help of Matlab simulation to collect the impact response signal, using the wavelet packet energy spectrum method to analyze the signal, can derive the characteristics of wind turbine blade damage. © 2024 X. Guan et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

关键词： Damage detection

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Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images

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Intelligent Automation & Soft Computing 2023年第4期36卷 127-143页

作者： Abdullah A.Asiri Ahmad Shaf Tariq Ali Muhammad Aamir Ali Usman Muhammad Irfan Hassan A.Alshamrani Khlood M.Mehdar Osama M.Alshehri Samar M.Alqhtani Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajranSaudi Arabia Department of Clinical Laboratory Sciences Collage of Applied Medical ScienceNajran UniversityNajranSaudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The brain tumor is an abnormal and hysterical growth of brain tissues,and the leading cause of death affected patients *** in this technol-ogy-based arena,brain tumor images with proper labeling and acquisition still have a problem with the accurate and reliable generation of realistic images of brain tumors that are completely different from the original *** artiﬁcially created medical image data would help improve the learning ability of physicians and other computer-aided systems for the generation of augmented *** over-come the highlighted issue,a Generative Adversarial Network(GAN)deep learn-ing technique in which two neural networks compete to become more accurate in creating artiﬁcially realistic data for MRI *** GAN network contains mainly two parts known as generator and ***,a generator is the convolutional neural network,and a discriminator is the deconvolutional neural *** this research,the publicly accessible Contrast-Enhanced Mag-netic Resonance Imaging(CE-MRI)dataset collected from 2005-to 2020 from different hospitals in China consists of four classes has been *** proposed method is simple and achieved an accuracy of 96%.We compare our technique results with the existing results,indicating that our proposed technique outper-forms the best results associated with the existing methods.

关键词： GAN network CE-MRI images convolutional neural network brain tumor classiﬁcation

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Deep Learning for the Recognition of Skin Cancer 2

Deep Learning for the Recognition of Skin Cancer

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2nd International Conference on Advanced computer Applications, ACA 2023

作者： Fadhil Alzuabidi, Israa Akram Jamil, Layla Safwat Ahmed, Amjed Abbas Fadhil, Saif Aamer Hasan, Mohammad Kamrul Ibraheem, Ahmed Salman Continuing of Education/Collage of Arts/University of Baghdad Baghdad Iraq College of Agricultural Engineering Sciences/university of Baghdad Baghdad Iraq Department of Computer Engineering Baghdad Iraq Universiti Kebangsaan Malaysia Faculty of Information Science and Technology Center for Cyber Security Bangi Malaysia Baghdad Iraq

ISBN: (纸本)9798350341829

The health industry has kept growing over the years with breakthroughs. However, in skin disease recognition such as cancer, there is still a battle to improve how recognition is implemented to get the desired result. The paper focuses on skin cancer recognition using deep learning. In addition, a cloud-based model-based architecture that uses deep learning algorithms in its core applications to create models that help predict skin cancer with improved accuracy is considered. System analysis and specification are also done in conjunction with a description of procedures and requirements. Implementation and testing are also done and finalized with the conclusion and future work. The main outcomes of the results and conclusion will be drawn from the implementation and testing that are carried out on the data. In addition to the fact that the implications of the findings would become valuable and further used as a benchmark for future research work in the research domain. © 2023 IEEE.

关键词： Dermatology

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Modified color co-occurrence matrix for image retrieval

Modified color co-occurrence matrix for image retrieval

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First International Conference on Natural Computation, ICNC 2005

作者： Chang, Min Hyuk Pyun, Jae Young Ahmad, Muhammad Bilal Chun, Jong Hoon Park, Jong An Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab. Dept. of Mechatronics Gwangju Institute of Science and Technology Gwangju Korea Republic of Dept. of Computer Information and Communication Eng. Jeonnam Provincial Collage Jeonnam Korea Republic of

Color correlogram for content-based image retrieval (CBIR) characterizes not only the color distribution of pixels, but also the spatial correlation of pairs of colors. Color not only reflects the material of surface, but also varies considerably with the change of illumination, the orientation of the surface, and the viewing geometry of the camera. The invariance to these environmental factors is not considered in most of the color features in color based CBIR including the color correlogram. However, pixels changed their color with almost same proportions with change of environmental factors. This fact is taken into consideration, and new algorithm is proposed. The color cooccurrence matrix for different spatial distances is defined based on the maximum/minimum of color component between the three components (R,G,B) of a pixel. The proposed algorithm has less number of features, and the change of illumination, etc. is also taken into account. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image retrieval

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A novel intrusion detection system by using intelligent data mining in weka environment

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Procedia computer Science 2011年 3卷 1237-1242页

作者： Muamer N. Mohammad Norrozila Sulaiman Osama Abdulkarim Muhsin Faculty of Computer Systems & Software Engineering University Malaysia Pahang 26300 Kuantan Malaysia Collage of Information Technology University Tenaga Nasional 43000 Selangor Malaysia

Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxonomy consists of a classification of the detection principle as well as certain WEKA aspects of the intrusion detection system such as open-source data mining. The combining methods may give better performance of IDS systems, and make the detection more effective. The result of the evaluation of the new design produced a better result in terms of detection efficiency and false alarm rate from the existing problems. This presents useful information in intrusion detection.

关键词： Data mining Intrusion detection system WEKA

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A Compact Fractal-Based Asymmetrical Dipole Antenna For RFID Tag Applications

A Compact Fractal-Based Asymmetrical Dipole Antenna For RFID...

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Scientific Conference of Electrical engineering (SCEE)

作者： Ali Sadeq Abdulhadi Jalal Alyani Ismail Collage of Information Engineering Al-Nahrain University Baghdad Iraq Department of Computer and Communication Systems Engineering Universiti Putra Malaysia Malaysia

ISBN: (纸本)9781728115887;9781728115870

Size reduction, among many other parameters, is one of the main challenges encountering antenna design for RFID tag applications. For this, different fractal geometries are found to be a good candidate. In this paper, a design of compact fractal-based asymmetrical dipole antenna integrated with Split Ring Resonator (SRR) is proposed. A Minkowski fractal tag loaded with a square SRR on its backplane, is designed for Ultra High Frequency (UHF) band Radio Frequency Identification (RFID). Modeling and performance assessment of the proposed antenna are carried out using CST microwave studio. Results reveal that the antenna has a size of 82×87×1.6 mm 3 and provides a read range of 2.17 m. These parameters together with other radiation characteristic make it suitable for RFID applications.

关键词： antenna radiation patterns dipole antennas fractal antennas radiofrequency identification UHF antennas DIPOLE ANTENNAS Radio frequency identification fractal antennas UHF antennas antenna radiation patterns RFID tags bottom plates antenna design Size reduction ANTENNA antennae

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Recommender Diagnosis System with Fuzzy Logic in Cloud Environment 20

Recommender Diagnosis System with Fuzzy Logic in Cloud Envir...

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20th International Conference on Language engineering, ESOLEC 2022

作者： Aboghazalah, Maie Elnemr, Rasha Elsayed, Nedaa El-Sayed, Ayman El-Kafrawy, Passant Menoufia University Faculty of Science Math and Computer Science Department Egypt Climate Change Information Center Expert Systems Agriculture Research Center Giza Egypt Tanta University Faculty of Medicine Cardiology Department Egypt Menoufia University Faculty of Electronic Engineering Computer Science and Engineering Department Egypt Menoufia University Faculty of Science Egypt Effat Collage of Engineering Jeddah Saudi Arabia

ISBN: (纸本)9781665453226

Recommendation systems are now used in a wide range in many fields. In the medical field, recommendation systems have a great stature to both doctors and patients for its accurate prediction. It can reduce the time and efforts spent by doctors and patients. The present work introduces a simple and effective methodology for medical recommendation system based on fuzzy logic. Fuzzy logic is an important method to be used based on fuzzy input data. The input data for each patient are not the same, on which recommendation can differ. This work aims to develop techniques for h and ling the patient data to urge accurate lifestyle recommendations to the patient. Fuzzy logic is utilized to form different recommendations for the patient like lifestyle recommendations, medicine recommendations, and sports recommendations based on different patient factors like age, gender and patient diseases. After evaluating the system its efficiency reached 94%. This Experiment is the final module in a four modules recommendation system. The first one is responsible for diagnosing chest diseases using ECG signals. The second one makes diagnosis using X-ray images. The third is utilizing the security of the whole system through encryption when sending user data over the cloud. © 2022 IEEE.

关键词： Fuzzy logic

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Internet of Things (IoT): survey of most important security risks

Internet of Things (IoT): survey of most important security ...

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Sciences and Techniques of Automatic Control and computer engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Ahmed Alaskri Nuredin Ali Salem Ahmed Hala Shaari Software Engineering Dep. Collage of Computer Technology Tripoli Libya Computer Engineering Department Faculty of Engineering Tripoli Libya Web Technologies Department Faculty of Information Tripoli Libya

The Internet of things (IoT) is getting more and more intrusive into our lives until the day comes when everything becomes connected to the Internet. Due to the limited resources and heterogeneous Internet of Things (IoT) devices, the traditional means of protection are useless and cannot be used to protect these devices. The most important security risks, their causes and the consequences of their occurrence have been listed, scheduled and categorized. The study concluded that there are real security risks that cannot be ignored, and they need to find innovative solutions to eliminate them or reduce their damage to a minimum. This paper showed the main risks addressed in previews research, and outlined the gaps in this field of technology, also producing a brief summary information about the most important solution to avoid many threats against the IoT field.

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Data Quality Guarantee Mechanism Based on Sunk Cost Effect

Data Quality Guarantee Mechanism Based on Sunk Cost Effect

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Industrial Cyber-Physical Systems (ICPS)

作者： Yonghua Xu Jiaqi Liu Yuying Yang Collage of Electrical and Information Engineering Hunan University of Technology Zhuzhou China School of Computer Science and Engineering Central south University Changsha China

To improve the data quality problem caused by the task location, a data quality guarantee mechanism based on sunk cost effect (DQSC) is proposed. Motivating participants to improve the quality of tasks, the psychological losses of participants whose tasks do not meet the standards is amplified by the sunk cost formed when task participants go to non-popular areas The effectiveness of the mechanism is verified by simulation experiments.

关键词： Heart Costs Quality assurance Data integrity Psychology Cyber-physical systems Data models

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Development of emergency patient monitoring system and emergency recognition algorism using wireless area network 10th

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10th World Congress on Medical Physics and Biomedical engineering, WC 2006

作者： Park, Hyun Jeong, Do Un Ro, Jung Hoon Nam, Kigon Jeon, Gyerok Dept. of Interdisciplinary in Biomedical Engineering Pusan National University Busan Korea Republic of Division of Computer Information Engineering College Dongseo University Busan Korea Republic of Dept. of Biomedical Engineering College of Medicine of Pusan National University Busan Korea Republic of Dept. of Electronic Engineering Collage of Pusan National University Busan Korea Republic of

ISBN: (纸本)9783540368397

Emergency situations can occur anywhere and anytime in daily life. In this paper, measurement and transmit of immediately to data server to do the most important ECG of living body signal data after get electrocardiogram waveform using a wireless module in body of real time communication environment in this research, own hygienic condition study cardiac algorithm that can recognize emergency situation when find more than also being research process of home healthcare system that receive real time verification and it is main target that develop. Thereby electrocardiogram transmitting real time by server of hospital or emergency structure center developing algorithm that recognize emergency situation of when system and this signal that can do display by PDA or PC monitor of wireless communication situation are immediately patient’s state as can do monitoring do. © International Federation for Medical and Biological engineering 2007.

关键词： Electrocardiography

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