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Geo-Risk Conference 2023

作者： Yeo, Lit Yen Kueh, Pei Gee Choo, Chung Siung Lee, Sue Han Zhang, Dongming Faculty of Engineering Computing and Science Swinburne Univ. of Technology Sarawak Malaysia Key Laboratory of Geotechnical and Underground Engineering of Minister of Education Dept. of Geotechnical Engineering Tongji Univ. Shanghai China

ISBN: (数字)9780784484982

ISBN: (纸本)9780784484982

In pipe jacking operations, the prediction of jacking forces has been the subject of several studies. Many established jacking force models are based on the strength properties of the negotiated soils or rocks during jacking. The application of these models is useful during the planning for pipe jacking construction. However, such models have limited use during the construction stage when decisions are made based on pipe jacking operation parameters, that is, jacking speed, lubricant, slurry pressure, etc. The influence of pipe jacking operation parameters on jacking forces is not well quantified. This gap could present adverse risks to construction progress, particularly in the highly weathered "soft rocks" encountered in the Tuang Formation underlying the central business district of Kuching, Malaysia. To assist in modelling pipe jacking operation, deep learning approaches have been widely deployed due to its powerful capability of feature learning. Therefore, an interesting question is raised: are we able to absorb the knowledge gained from neural networks to help reduce the decision-making gap in pipe jacking operations between the construction and planning phases? To this end, this paper proposes the use of gated recurrent units (GRUs) with an attention-based mechanism for providing insight into the decisions made on operation parameters during pipe jacking. A case study will be presented to demonstrate the visualization of attention utilized by the deep learning model towards the operation parameters. The findings showed that the input features (i.e., operation parameters) shifted throughout the drive. At the initial sections of the drive, more attention was directed towards operation parameters related to the micro-tunnel boring machine (mTBM) face. Subsequently, the attention was shifted to the cumulative operation parameters with progressive pipe jacking. The findings from this paper have the potential to help pipe jacking specialists identify and quantify

关键词： Decision making

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Multi-Headed CNN and Vision Transformer-Based Diabetic Retinopathy Classification 14

Multi-Headed CNN and Vision Transformer-Based Diabetic Retin...

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14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Saini, Naveen Kumar Ram, Debangana Gyanchandani, Manasi Maulana Azad National Institute of Technology Dept. of Computer Science and Engineering M.P. Bhopal India

ISBN: (纸本)9798350335095

Diabetic Retinopathy (DR) is a medical condition that can occur as a complication of diabetes and is characterised by blood leakage into the retinal tissues. The condition initially manifests as no symptoms or minor vision problems, which can progress to severe vision loss. DR is classified into five stages: Normal, Mild, Moderate, Severe, and PDR (Proliferative Diabetic Retinopathy). Detecting DR early is crucial to avoid severe complications, including complete blindness. The presence of certain characteristics, including soft exudates, hard exudates, hemorrhages, and microaneurysms in the affected eye, may indicate the presence of diabetic retinopathy. Early detection and prevention measures can control DR and prevent further damage to the retina. Diagnosis of diabetic retinopathy involves monitoring and assessment of fundus images. However, manual detection of DR is a time consuming process and is highly dependent on the expertise of ophthalmologists. It is also challenging for ophthalmologists to detect DR in its early stages from fundus ***, there is a need for an automated diagnosis system capable of extracting features from fundus images and classifying DR into different stages. In this regard, we propose a multi-headed CNN and vision transformer based model capable of accurately detecting and classifying all early stages of diabetic retinopathy as early as possible. Our proposed model leverages the CNN's ability to extract local spatial features and the vision transformer's ability to extract global contextual information. By combining these local and global features, a rich feature representation is created, which is then used to detect and classify all stages of DR. © 2023 IEEE.

关键词： Image classification

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Comparative Assessment of Constant V and Q controlled Renewable Rich Grid Connected Electric Vehicle Charging Station

Comparative Assessment of Constant V and Q controlled Renewa...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Shezan, Sk. A. Ishraque, Md. Fatin Shafiullah, G.M. Rahman, Md Moktadir Engineering Institute of Technology School of Electrical Engineering MelbourneVIC3001 Australia Murdoch University Discipline of Engineering and Energy Australia Pabna University of Science and Technology Dept. of Electrical Electronic and Communication Engineering Pabna Bangladesh Essential Energy Port MacquarieNSW2444 Australia

ISBN: (纸本)9781665471640

This paper presents a proposed solution for a Constant V and Q controlled Renewable Rich Grid Connected Electric Vehicle Charging Station. The proposed solution aims to address the challenges of electric vehicle charging infrastructure, which is currently facing issues of limited renewable energy sources, grid instability, and high capital and operational costs. The proposed solution offers a smart and sustainable electric vehicle charging station that integrates renewable energy sources with a Constant V and Q control system to ensure grid stability and efficient use of energy. The system incorporates solar photovoltaic panels, wind turbines, and energy storage units to generate and store renewable energy. The charging station is equipped with a bi-directional charger that allows the station to provide power to the grid during peak demand hours and draw power during off-peak hours. The proposed solution also incorporates a user-friendly mobile application that allows users to reserve charging slots and monitor their charging status. The Constant V and Q control system provides a stable voltage and frequency to ensure efficient power transfer between the grid and the charging station. The proposed solution offers a scalable and cost-effective model for EV charging infrastructure that can be replicated in other regions facing similar challenges. © 2023 IEEE.

关键词： Constant V and Q control Electric vehicle charging station Grid stability Power system Renewable energy

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Impact on mental health due to COVID-19 pandemic: A cross-sectional study in Bangladesh

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Clinical eHealth 2023年第1期6卷 42-52页

作者： Pathan, Refat Khan Biswas, Munmun Yasmin, Suraiya Uddin, Mohammad Amaz Das, Anindya Khandaker, Mayeen Uddin Faruque, M.R.I. Sarker, Moniruzzaman Dept. of Computing and Information Systems School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Dept. of Computer Science and Engineering BGC Trust University Bangladesh Chittagong 4381 Bangladesh Department of Computer and Information Science Tokyo University of Agriculture and Technology Koganei - 184-0012 Tokyo Japan Dept. of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Dept. of Electrical and Electronic Engineering Chittagong University of Engineering and Technology Chittagong 4349 Bangladesh Center for Applied Physics and Radiation Technologies School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Space Science Centre Universiti Kebangsaan Malaysia 43600 UKM Selangor Bangi Malaysia Department of Marketing Sunway University Business School Sunway University Selangor Bandar Sunway 47500 Malaysia Faculty of Graduate Studies Daffodil International University Daffodil Smart City Birulia Savar Dhaka – 1216 Bangladesh

The government of Bangladesh has implemented the “Stay Home” policy following the WHO recommendation to resist the community transmission of Covid-19. As a result, the routine activities of all government, semi-government establishments, including educational institutions, are severely affected, and the country's economic growth becomes slowed down. To overcome such a situation, the relevant authorities have introduced the “Work from Home” policy for the employees and “Remote Education” for students. However, due to the persistence of multi-dimensional socio-economic problems, many employees and students face big challenges in performing their regular jobs while adopting such a policy. Consequently, enormous psychological anxiety has been developed for all people, including students, parents, employees, etc., and concurrently created severe changes in their behavior. This study aims to analyze the reasons for the behavioral changes of the employees, students, academic staff, and family members of different ages due to psychological anxiety, stress, or physical issues. A comprehensive online-based survey has been carried out on people working in various sectors in Bangladesh. A modified Apriori Algorithm has been used to sort out the associations between the causes and types of behavioral changes. Analyzed data revealed a massive human behavioral change in most participants. This finding indicates that the negligence of those significant human behavioral changes may cause a higher risk of creating psychological imbalance. Therefore, there is a need to have a solid understanding of the reasons for the behavioral changes and set up standard guidelines to maintain “Work from Home” in this Covid-19 situation to avoid psychological imbalance. Based on this study, some suggestions have been given for implementation by the government on an urgent basis. © 2023

关键词： Apriori algorithm Behavioral changes Covid-19 outbreak Family crisis Work from home

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Analysis and Design for Inductively Coupled Plasma Power Source with Multi-level Power Mode 50

Analysis and Design for Inductively Coupled Plasma Power Sou...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Chen, Chenyue Ma, Jun Liu, Ming Dept. of Electrical Engineering Shanghai Jiao Tong University Shanghai China Shanghai Mega-Energy Technology Co. Ltd Shanghai China

ISBN: (纸本)9781665464543

The inductively coupled plasma (ICP) source is widely used in the semiconductor manufacturing industry. The main challenge is delivering a high frequency and low harmonic current with multi-level power modulation. The multi-level power mode is required for advanced manufacturing processes and it modulates the output power repeatedly, the energy storage components charge and discharge rapidly, leading to very large transient power losses on switches, especially for the lagging bridge which loses ZVS operation. This paper discussed the matching network design for the ICP source and the steady-state analysis for its phase-shift modulation. Furthermore, the transient power loss mechanism during the multi-level power modulation is elaborated by using multiple harmonic approximation. Finally, the design guidance for ICP source working at multi-level power mode is discussed to achieve high efficiency and high reliability. A 2kW prototyping system is built to validate the proposed analysis and design for the ICP source. © 2024 IEEE.

关键词： Phase shift

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Error Analysis of Convolutional Beamspace Algorithms 48

Error Analysis of Convolutional Beamspace Algorithms

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Chen, Po-Chih Vaidyanathan, P.P. California Institute of Technology Dept. of Electrical Engineering MC 136-93 PasadenaCA91125 United States

ISBN: (纸本)9781728163277

Beamspace processing for DOA estimation offers low computational complexity and high DOA resolution. Moreover, unlike classical beamspace methods, convolutional beamspace (CBS) preserves the Vandermonde structure of uniform linear array output, so no additional preparation is needed to apply root-MUSIC. In this paper, theoretical MSE of CBS is given when MUSIC or root-MUSIC is used. Error variance can be derived from the asymptotic probability distribution of the eigenvectors of an average finite-snapshot covariance matrix. Meanwhile, the bias due to the filtered stopband sources is given by first-order perturbation analysis. Known advantages of CBS are confirmed by the MSE analysis. For example, CBS yields smaller MSE for correlated sources than element-space. The theoretical results are verified by simulations. © 2023 IEEE.

关键词： Convolutional beamspace DOA estimation MSE MUSIC

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Enhancing Raga Identification in Indian Classical Music with FCN-based Models

Enhancing Raga Identification in Indian Classical Music with...

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2023 International Conference on Sustainable Communication Networks and Application, ICSCNA 2023

作者： Mewada, Shubbh Patel, Fagun Degadwala, Sheshang Vyas, Dhairya Dept. of Comp. Eng. Sal Institute of Technology and Engineering Research Gujarat Ahmedabad India Sigma University Dept. of Comp. Engineering Gujarat India The Maharaja Sayajirao University of Baroda Gujarat Vadodara India

ISBN: (纸本)9798350313987

In this study, we provide a novel method for improving raga identification in the field of Indian classical music by making use of Fully Connected Convolutional Networks (FCNs). The broad variety of ragas in this musical tradition are distinguished by subtle melodic and structural differences, making raga identification a difficult task. This study has proposed a novel FCN-based approach, which utilizes deep learning to provide more reliable and effective answers to the problem. The model shows a high degree of accuracy in recognizing and classifying ragas, which bodes well for the potential of automating this difficult activity. This study has performed an extensive review, which included a thorough comparison to prior methods, to prove that our methodology was superior. Our FCN-based model has been shown to perform better than its competitors in this evaluation, demonstrating its potential for real-world use. The rich cultural history of Indian classical music depends on such measures being taken to preserve and disseminate it. © 2023 IEEE.

关键词： Convolutional Networks Deep Learning FCN-Based Model Indian Classical Music Performance Evaluation Raga Identification

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A Higher-order Two-dimensional Boussinesq Wave Model

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Journal of Coastal Research 2024年第SP1期50卷 1183-1187页

作者： B. Ataie-Ashtiani A. Najafi-Jilani Dept. of Civil Engineering Sharif University of Technology Tehran Iran

Ataie-Ashtiani, B. and Najafi-Jilani, A., 2007. A Higher-order Two-dimensional Boussinesq Wave Model. Journal of Coastal Research, SI 50 (Proceedings of the 9th International Coastal Symposium), 1183 – 1187. Gold Coast, Australia, ISSN 0749.0208A two-dimensional Boussinesq-type model is presented accurate to O(µ)6 , µ = h0/l0, in dispersion and all consequential order for non-linearity with arbitrary bottom boundary, where h0 is the water dept. and l0 is the characteristic wave length. The mathematical formulation is an extension of (4,4) the Padé approximant to include varying bottom boundary in two horizontal dimensions. A higher order perturbation method is used for mathematical derivation of the presented model. A two horizontal dimension numerical model is developed based on derived equations using the Finite Difference Method in higher-order scheme for time and space. The numerical wave model is verified successfully in several checks such as wave transition over an arbitrary bottom and the accuracy of numerical results in all cases are acceptable.

关键词： Nonlinear wave numerical modeling Perturbation analysis

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Artificial Intelligence technique governed robust fuzzy controller for microgrid frequency control

Artificial Intelligence technique governed robust fuzzy cont...

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2023 International Conference in Advances in Power, Signal, and Information technology, APSIT 2023

作者： Mohapatra, Ashok Kumar Sahu, Prakash Chandra Mohapatra, Srikanta Bhatta, Sunil Kumar Debnath, Manoj Kumar School of Electrical Engineering Kiit Deemed to Be University India Aryan Institute of Engineering and Technology Department of Ee Odisha Barakuda India Iter Soa University Electrical Engineering Dept. Odisha Bhubaneswar India

ISBN: (纸本)9798350339369

The microgrids are most reliable and digital grid which offers power at good frequency and voltage level. The grid is normally located at the distribution level and able to generate electrical energy with penetrating different renewable source based generating units. The renewable energies such as wind power, solar energy, tidal power, geothermal power are now most convenient source to produce electricity. The limitations of renewable power generating plants are uncertainty in wind velocity and variation in the solar radiation power. These uncertainties produces abnormal in the microgrid frequency and also in voltage. This article has employed a noble fuzzy PID approach to manipulate frequency oscillation issues under such uncertainties. The controller is also implemented to maintain standard frequency environment under frequency load dynamic issues. Further, the controllability in this proposed fuzzy techniques is evaluated on few standard methods like PID & PID approaches by different results and responses. The research has also applied an advanced whale optimization algorithm (A-WOA) to get most fit parameters of the controller. Finally, the effective action of the suggested A-WOA technique over PSO and GA has been synthesized to validate superiority of the proposed algorithm. © 2023 IEEE.

关键词： Electric loads

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Graph Based systematic Synthesis Procedure of gm-C Filter 7

Graph Based Systematic Synthesis Procedure of gm-C Filter

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7th International Conference on Electronics, Communication and Aerospace technology, ICECA 2023

作者： Bhanja, Mousumi Ganguly, Anirban Parija, Smita Rani Pune India Bharat Institute of Engineering and Technology Dept. of Electrical and Electronics Engineering Hyderabad India C v Raman Global University Department of Electronics and Tele-Communication Engineering Bhubaneswar752054 India

ISBN: (纸本)9798350340600

Real world signals, being analog by nature requires analog signal processing. But unfortunately analog domain still lacks of good research on analog EDA tool. Therefore, developing systematic synthesis methodology is a major research topic still to be addressed and improved to cope up with the recent technological advancements in VLSI. In this background, a graph has been employed to represent synthesis methodology for linear analog filters in a systematic way. Nodes of bipartite graph represents some basic first order mathematical functions;those are connected through weighted edges (with relation operator). Traversal of the graph with defined traversal rules gives different subgraphs implementing different types/order of filters. The graph has been optimized with some defined set of rules. Optimized graph has been converted into a multifunctional filter structure, which realizes all types of filters by programming the connections among the building blocks. This systematic synthesis approach supports reusability and programmability in hardware, when implemented in gm-C. Filter response is verified through SPICE simulation. © 2023 IEEE.

关键词： Reusability

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