Article
Engineering, Mechanical
C. Dominguez-Monferrer, A. Guerra-Sancho, A. Caggiano, L. Nele, M. H. Miguelez, J. L. Cantero
Summary: This article presents a method for identifying catastrophic tool failures during CFRP/Ti6Al4V hybrid stacks drilling in aircraft fuselage components assembly. The method utilizes Multiresolution Analysis (MRA) with Discrete Wavelet Transform (DWT) and Z-score technique for spindle consumption signals detection. The research demonstrates high performance with a Recall and Precision values equal to 1, indicating 100% detection of tool failures with no false positives. The algorithm running time is 0.65s, making it suitable for real-time tool failure detection in industrial machining production systems.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Environmental
Arash Adib, Arash Zaerpour, Morteza Lotfirad
Summary: A novel algorithm combining different wavelet transform methods and ARIMA, AI models for snow depth forecasting was proposed. The hybrid ARIMA-AI models outperformed standalone models, and the wavelet technique enhanced overall performance. Among the wavelet-based models, the MODWT-MRA-ARIMA-ANFIS model demonstrated high accuracy, confirming the potential of wavelet-based models for snow-covered regions.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Vajiheh Sabeti
Summary: Although wavelet-based steganography techniques have advantages, complete extraction of embedded data remains a challenge. The proposed method resolves extraction errors by using an iterative embedding procedure and modifying coefficient pair values. With each iteration, errors diminish to zero in most blocks, and the method shows enhanced metrics and resistance to attacks. Key merits include high-quality stego images, strong security, simplicity, and zero extraction errors.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Sabyasachi Pramanik
Summary: This study proposes a hybrid method for hidden communication, combining spatial adaptive and wavelet-based approaches. The communication content is hidden by prioritizing embedding in the edge regions of the image. An edge intensity criterion is utilized based on local neighborhood analysis to determine suitable embedding coefficients. Experimental results show that this method is more secure and effective compared to previous methods, with better quality of the resulting hidden image.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Abdulhakeem O. Mohammed, Haval I. Hussein, Ramadhan J. Mstafa, Adnan M. Abdulazeez
Summary: With the rise of the Internet of Things and smart devices, it has become easier to access and distribute digital data. However, these advancements have also made it easier for intruders to violate copyright protection, commit identity theft, and compromise privacy. To address these issues, image watermarking, specifically a blind watermarking approach based on joint Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) for RGB color images, is proposed in this paper. The approach demonstrates enhanced watermark invisibility and robustness, meeting the main requirements of image watermarking.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
K. Jnaneswar, B. Mallikarjuna, S. Devaraj, Diptendu Sinha Roy, M. Jaya Bharata Reddy, D. K. Mohanta
Summary: This paper presents a multifunctional scheme using d-q transformed traveling waves for the protection reinforcement of EHV/UHV transmission lines. The proposed scheme can detect and locate faults within a quarter cycle by analyzing energy values and phasors.
ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Gyuwon Kim, Donghyun Hwang
Summary: This article introduces an approach to utilize a barometric pressure sensor chip (BPSC) as a slip-detecting tactile sensor and explores its effectiveness with unknown objects. Through parametric analysis and experimental evaluation, the factors affecting slip detectability are investigated, and slip detection and direction detection are achieved using DWT and threshold methods. The experimental results demonstrate that stable and accurate grasping can be achieved using this sensor.
IEEE SENSORS JOURNAL
(2023)
Article
Energy & Fuels
Shulin Liu, Xia Dong, Xiaodong Yu, Xiaoqing Ren, Jinfeng Zhang, Rui Zhu
Summary: This paper presents an adaptive unscented Kalman filter algorithm (AUKF) for the joint estimation of SOC and SOH of lithium-ion batteries. The proposed method is verified to be accurate and reliable through experiments.
Article
Computer Science, Artificial Intelligence
Lokesh Malviya, Sandip Mal
Summary: This study proposes a hybrid deep learning model for detecting stress levels in humans using EEG signals. By utilizing DWT for signal denoising and decomposition, and combining CNN and BLSTM for feature selection and classification, the proposed method achieves high accuracy in detecting stress levels.
NEURAL COMPUTING & APPLICATIONS
(2022)
Review
Physics, Multidisciplinary
Rodrigo Capobianco Guido
Summary: Wavelet-based analyses have made remarkable achievements in physics and related sciences. However, many people still misunderstand the fundamentals of wavelets. This article provides clear explanations of different types of wavelet transforms and their applications, helping readers to effectively utilize wavelets in their research.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2022)
Article
Automation & Control Systems
Jae-Beom Ahn, Hyun-Bin Jo, Hong-Je Ryoo
Summary: This article introduces a method for detecting series arc faults in photovoltaic systems based on noise pattern analysis. The proposed method distinguishes between system noise and arc noise and prevents false detection. The method uses periodic feature analysis and zero-range density analysis to achieve false detection prevention and detect arc noise. The reliability of the method is verified through noise distinction experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Theory & Methods
Rabi Shaw, Bidyut Kr. Patra
Summary: Flipped learning is an effective teaching method accomplished through pre-loaded lecture videos and in-class activities. However, the inability to monitor students' learning progress during video lectures may impact learning outcomes.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Zeinab Hajiabotorabi, Faramarz F. Samavati, Farid Mohammad Maalek Ghaini, Akbar Shahmoradi
Summary: In this paper, a multi-factor wavelet-based deep recurrent neural network (Multi-WRNN) model is proposed for more accurate pricing of the crude oil future market. The model is capable of incorporating multiple key factors, classifying time series as stationary or non-stationary, and predicting the impact of non-stationary factors on the market. Through comparison with conventional models and analysis of different wavelets, it is found that the Multi-WRNN model with seven key factors outperforms other models in market pricing.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Sachin Sharma, Meena Malik, Chander Prabha, Amal Al-Rasheed, Mona Alduailij, Sultan Almakdi
Summary: Watermarking of digital images is essential in various applications. This paper focuses on security issues in common domains like digital photography copyrighting and online image stores. The requirements for these applications include robustness, blindness, high embedding capacity, high PSNR, and high SSIM. A blind image watermarking scheme using LWT as the baseline is proposed, where custom binary watermarks can be embedded and Hu's Invariant moments' coefficients are used for watermark extraction. The technique is optimized using a Stochastic variant of the Firefly algorithm and achieves high PSNR and SSIM.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Engineering, Chemical
Songho Lee, Taehyun Lee, Jeongyeong Kim, Jongjik Lee, Kyungha Ryu, Yongjin Kim, Jong-Won Park
Summary: With the development of IoT, big data, and AI, it is now possible to acquire and analyze various condition signals from industrial machinery facilities. This technology has been applied to the development of fully autonomous ships, where fault diagnosis is crucial. In this study, a fault diagnosis framework for ship oil purifiers was proposed and achieved high diagnostic performance.
Article
Electrochemistry
Chang Yoon Chun, B. H. Cho, Jonghoon Kim
ELECTROCHIMICA ACTA
(2018)
Article
Computer Science, Information Systems
Seongjun Lee, Jonghoon Kim
Article
Computer Science, Information Systems
Soon-Jong Kwon, Sung-Eun Lee, Ji-Hun Lim, Jinhyeok Choi, Jonghoon Kim
Article
Chemistry, Multidisciplinary
Soon-Jong Kwon, Gunwoo Kim, Jinhyeong Park, Ji-Hun Lim, Jinhyeok Choi, Jonghoon Kim
APPLIED SCIENCES-BASEL
(2019)
Article
Computer Science, Information Systems
Seonri Hong, Moses Kang, Hwapyeong Park, Jonghoon Kim, Jongbok Baek
Summary: This study assesses the functionality and hardware performance of BMS, using a practical approach of testing with embedded boards. SOC estimation method with EKF and UKF were applied, where EKF is cost-effective but error-prone under noise interference, while UKF shows high accuracy and noise robustness but with high resource occupancy.
Article
Green & Sustainable Science & Technology
Ahmed M. Hussien, Jonghoon Kim, Abdulaziz Alkuhayli, Mohammed Alharbi, Hany M. Hasanien, Marcos Tostado-Veliz, Rania A. Turky, Francisco Jurado
Summary: This research proposes a new technique for the optimum operation of an isolated microgrid based on an enhanced block-sparse adaptive Bayesian algorithm. Extensive simulations are conducted to demonstrate the superiority of the proposed method in the system's transient reactions.
Article
Energy & Fuels
Rajaa Naji EL Idrissi, Mohammed Ouassaid, Mohamed Maaroufi, Zineb Cabrane, Jonghoon Kim
Summary: This study proposes a cooperative energy management strategy based on the end-user sharing of energy, promoting intelligent charging and discharging of electric vehicles to achieve various operating modes. The methods proposed in this study provide a robust and efficient solution to charging and discharging schedules for multiple electric vehicles, reducing peak power and increasing user comfort.
Article
Chemistry, Multidisciplinary
Roland Kobla Tagayi, Seungyun Han, Hyewon Lee, Jonghoon Kim
Summary: To reduce carbon emissions, the use of renewable energy sources, particularly wind power generators, is increasing. This study proposes a frequency regulation support strategy using a wind power generator and lithium-ion battery, assigning different roles to each. The strategy achieves higher frequency support by releasing more stored energy from the generator and battery during synchronous generator trips.
APPLIED SCIENCES-BASEL
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Haoliang Zhang, Woonki Na, Jonghoon Kim
2018 IEEE TRANSPORTATION AND ELECTRIFICATION CONFERENCE AND EXPO (ITEC)
(2018)
Proceedings Paper
Green & Sustainable Science & Technology
Woonki Na, Edurad Muljadi, Bill Leighty, Joonghoon Kim
2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)
(2017)
Proceedings Paper
Engineering, Industrial
Woonki Na, Min-Keuk Kim, Jonghoon Kim, Pengyuan Chen, Edward D. Choi
2017 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC)
(2017)
Proceedings Paper
Green & Sustainable Science & Technology
Woonki Na, Edurad Muljadi, Bill Leighty, Jonghoon Kim
2017 NINTH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE (GREENTECH 2017)
(2017)
Proceedings Paper
Energy & Fuels
Woonki Na, Sesha Kovvuri, Jonghoon Kim
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016)
(2017)
Proceedings Paper
Energy & Fuels
Hyun-jun Lee, Joung-hu Park, Jonghoon Kim
2017 THIRTY SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC)
(2017)
Proceedings Paper
Automation & Control Systems
Jonghoon Kim, Pyeong-Yeon Lee, Chang-O Youn, Seongjun Lee, Joung-hu Park, Mirim Ha, Hyunchul Song
2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)
(2017)
