Electrical and Computer Engineering Commons^™

The Need For Energy Storage On Renewable Energy Generator Outputs To Lessen The Geeth Effect, I.E. Short-Term Variations Mainly Associated With Wind Turbine Active Power Output, Tony Kealy

Articles

Many studies investigating the short-term variations associated with the power output from wind turbine generators utilise simulated or modelled data in the analysis. This current study uses short-term empirical data downloaded directly from operational wind turbines via electrical power quality meters. The empirical data shows that the short-term variations (one-second or sub-one-second timeframe) occur continuously over most of the power output range. A novel name is proposed, the Geeth Effect, for this variability phenomenon. The Geeth Effect is measured using the coefficient of variation mathematical expression and is likely contributing to (i) lower-than-expected financial and environmental benefits associated with …

An Improved Genetic Algorithm Based Fractional Open Circuit Voltage Mppt For Solar Pv Systems, Aakash Hassan, Octavian Bass, Mohammad A. S. Masoum

Research outputs 2022 to 2026

To extract the maximum power from solar PV, maximum power point tracking (MPPT) controllers are needed to operate the PV arrays at their maximum power point under varying environmental conditions. Fractional Open Circuit Voltage (FOCV) is a simple, cost-effective, and easy to implement MPPT technique. However, it suffers from the discontinuous power supply and low tracking efficiency. To overcome these drawbacks, a new hybrid MPPT technique based on the Genetic Algorithm (GA) and FOCV is proposed. The proposed technique is based on a single decision variable, reducing the complexity and convergence time of the algorithm. MATLAB/Simulink is used to test …

Compressive Sensing Via Variational Bayesian Inference Under Two Widely Used Priors: Modeling, Comparison And Discussion, Mohammad Shekaramiz, Todd K. Moon

Electrical and Computer Engineering Faculty Publications

Compressive sensing is a sub-Nyquist sampling technique for efficient signal acquisition and reconstruction of sparse or compressible signals. In order to account for the sparsity of the underlying signal of interest, it is common to use sparsifying priors such as Bernoulli-Gaussian-inverse Gamma (BGiG) and Gaussian-inverse Gamma (GiG) priors on the compounds of the signal. With the introduction of variational Bayesian inference, the sparse Bayesian learning (SBL) methods for solving the inverse problem of compressive sensing have received significant interest as the SBL methods become more efficient in terms of execution time. In this paper, we consider the sparse signal recovery …

Digital Image Processing, Abhinav Deshpande

International Journal of Image Processing and Vision Science

Digital image processing is the use of a digital computer to process a digital image using an algorithm. As a subcategory or area of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as noise accumulation and distortion during processing. This review article provides a comprehensive literature review of various image processing techniques along with a brief introduction to digital image processing that defines its scope and importance, thereby highlighting the importance of its use in …

Efficient Scopeformer: Towards Scalable And Rich Feature Extraction For Intracranial Hemorrhage Detection Using Hybrid Convolution And Vision Transformer Networks, Yassine Barhoumi

Theses and Dissertations

The field of medical imaging has seen significant advancements through the use of artificial intelligence (AI) techniques. The success of deep learning models in this area has led to the need for further research. This study aims to explore the use of various deep learning algorithms and emerging modeling techniques to improve training paradigms in medical imaging. Convolutional neural networks (CNNs) are the go-to architecture for computer vision problems, but they have limitations in mapping long-term dependencies within images. To address these limitations, the study explores the use of techniques such as global average pooling and self-attention mechanisms. Additionally, the …

An Evaluation Of A Computational Technique For Measuring The Embeddedness Of Sustainability In The Curriculum Aligned To Aashe-Stars And The United Nations Sustainable Development Goals, Philippe Lemarchand, Cormac H. Macmahon Dr, Mick Mckeever, Philip Owende

Articles

Introduction: SDG 4.7 mandates university contributions to the United Nations (UN) Sustainable Development Goals (SDGs) through their education provisions. Hence, universities increasingly assess their curricular alignment to the SDGs. A common approach to the assessment is to identify keywords associated with specific SDGs and to analyze for their presence in the curriculum. An inherent challenge is associating the identified keywords as used in the diverse set of curricular contexts to relevant sustainability indicators; hence, the urgent need for more systematic assessment as SDG implementation passes its mid-cycle.

Method: In this study, a more nuanced technique was evaluated with notable capabilities …

Deep Learning To Predict The Hydration And Performance Of Fly Ash-Containing Cementitious Binders, Taihao Han, Rohan Bhat, Sai Akshay Ponduru, Amit Sarkar, Jie Huang, Gaurav Sant, Hongyan Ma, Narayanan Neithalath, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

Fly ash (FA) – an industrial byproduct – is used to partially substitute Portland cement (PC) in concrete to mitigate concrete's environmental impact. Chemical composition and structure of FAs significantly impact hydration kinetics and compressive strength of concrete. Due to the substantial diversity in these physicochemical attributes of FAs, it has been challenging to develop a generic theoretical framework – and, therefore, theory-based analytical models – that could produce reliable, a priori predictions of properties of [PC + FA] binders. In recent years, machine learning (ML) – which is purely data-driven, as opposed to being derived from theorical underpinnings – …

Deep Learning To Predict The Hydration And Performance Of Fly Ash-Containing Cementitious Binders, Taihao Han, Rohan Bhat, Sai Akshay Ponduru, Amit Sarkar, Jie Huang, Gaurav Sant, Hongyan Ma, Narayanan Neithalath, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

Fly ash (FA) – an industrial byproduct – is used to partially substitute Portland cement (PC) in concrete to mitigate concrete's environmental impact. Chemical composition and structure of FAs significantly impact hydration kinetics and compressive strength of concrete. Due to the substantial diversity in these physicochemical attributes of FAs, it has been challenging to develop a generic theoretical framework – and, therefore, theory-based analytical models – that could produce reliable, a priori predictions of properties of [PC + FA] binders. In recent years, machine learning (ML) – which is purely data-driven, as opposed to being derived from theorical underpinnings – …

Technical Report On: Anchoring Sagittal Plane Templates In A Spatial Quadruped, Timothy M. Greco, D. E. Koditschek

Technical Reports (ESE)

This technical report provides a more thorough treatment of the proofs and derivations in the authors' paper "Anchoring Sagittal Plane Templates in a Spatial Quadruped." The description of the anchoring controller is reproduced here without abridgement, and additional appendices provide a clearer account of the implementation details.

Anchoring Sagittal Plane Templates In A Spatial Quadruped, Timothy M. Greco, Daniel E. Koditschek

Departmental Papers (ESE)

This paper introduces a new controller that stabilizes the motion of a spatial quadruped around sagittal-plane templates. It enables highly dynamic gaits and transitional maneuvers formed from parallel and sequential compositions of such planar templates in settings that require significant out-of-plane reactivity. The controller admits formal guarantees of stability with some modest assumptions. Experimental results validate the reliable execution of those planar template-based maneuvers, even in the face of large lateral, yaw, and roll incurring disturbances. This spatial anchor, fixed in parallel composition with a variety of different parallel and sequential compositions of sagittal plane templates, illustrates the robust portability …

Strengthen Building Of Basic Reach Capacity For Semiconductor Research To Light Up “Beacon” Towards Realizing The Self-Reliance And Self-Improvement Of Semiconductors, Junwei Luo, Shushen Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

Analysis On Bottleneck And Prospect Of Integrated Circuit Talent Training Oriented To Sci-Tech Self-Reliance And Self-Strengthening At Higher Levels, Kaixuan Guan, Jiang Yu, Jianzhong Zhou, Feng Chen, Yan Han

Bulletin of Chinese Academy of Sciences (Chinese Version)

The most essential feature of building a new development paradigm is to achieve sci-tech self-reliance and self-strengthening at higher levels. The integrated circuit industry, as an important pillar to achieve this essential feature, is facing a severe external situation. China's chip shortage pain begins with a shortage of talents. The structural problem of uneven development at the overall level of the industry makes it more difficult to effectively gather and distribute talents. To achieve sci-tech self-reliance and self-strengthening at higher levels, we need to be both demand-oriented and problem-oriented, which means not only to pay attention to the core technology …

Causes, Countermeasures And Enlightenment Of “Eu Semiconductor Crisis”: Interpretation Around The European Chips Act, Junfeng Li, Ying Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The European Union (EU) is one of the origins of the global semiconductor industry, but due to its structural defects in the semiconductor value chain, it has encountered a crisis of chip shortages and supply cuts since 2021. The European Chips Act drafted by EU proposes a path for semiconductor ecological construction, crisis intervention regulatory measures, and outlines a blueprint for a "national system for the chip industry with EU characteristics". These factors are of speculative significance and reference value for China to balance the relationship between the government and the market, subsidies and competition, key construction and inclusive support …

Heidelberg Dwl66+ Laser Writer (Lw-01) Standard Operating Procedure, David J. Jones

Protocols and Reports

Standard operating procedure (SOP) for Heidelberg DWL66+ laser writer.

Grasserie Disease Identification In Bombyx Mori Silkworm Using Ensemble Learning Approach, Raghavendra Cg Dr, Dharini Raghavan

International Journal of Electronics Signals and Systems

Sericulture is an agricultural activity that involves rearing of silkworms for the production of cocoons which is in turn used to produce raw silk. In countries like India where agriculture is pre-dominant, sericulture is considered to be one of the most important economic activities. India ranks second among the silk producing countries in the world, accounting for over 17 percent of the world’s production. The major activities of sericulture comprise of food-plant cultivation to feed the silkworms, spin silk cocoons and reel them for unwinding the silk filament for processing and weaving to produce valuable silk products. Though technology has …

Session 12: Analysis Of State And Parameter Estimation Techniques Using Dynamic Perturbation Signals, Timothy M. Hansen

SDSU Data Science Symposium

The trend in electric power systems is the displacement of traditional synchronous generation (e.g., coal, natural gas) with renewable energy resources (e.g., wind, solar photovoltaic) and battery energy storage. These energy resources require power electronic converters (PECs) to interconnect to the grid and have different response characteristics and dynamic stability issues compared to conventional synchronous generators. As a result, there is a need for validated models to study and mitigate PEC-based stability issues, especially for converter dominated power systems (e.g., island power systems, remote microgrids).

This presentation will introduce methods related to dynamic state and parameter estimation via the design …

Identification Of Volatile Organic Liquids By Combining An Array Of Fiber-Optic Sensors And Machine Learning, Wassana Naku, Anand K. Nambisan, Muhammad Roman, Chen Zhu, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

In This Paper, We Report an Array of Fiber-Optic Sensors based on the Fabry-Perot Interference Principle and Machine Learning-Based Analyses for Identifying Volatile Organic Liquids (VOLs). Three Optical Fiber Tip Sensors with Different Surfaces Were Included in the Array of Sensors to Improve the Accuracy for Identifying Liquids: An Intrinsic (Unmodified) Flat Cleaved Endface, a Hydrophobic-Coated Endface, and a Hydrophilic-Coated Endface. the Time-Transient Responses of Evaporating Droplets from the Optical Fiber Tip Sensors Were Monitored and Collected Following the Controlled Immersion Tests of 11 Different Organic Liquids. a Continuous Wavelet Transform Was Used to Convert the Time-Transient Response Signal into …

Trading Electricity With Blockchain Systems, David Bowker, Anant Venkateswaran, Fazel Mohammadi, Abdulraheem Al Garni, Marko Vukobratovic, Claudio Lima, Farrokh Rahimi, Igor Ferreira, Davor Bosnjak, Hannes Agabus, Praveen Agarwal, Santosh Jain, Simon Mikulich, Victor Francisco, Toshiyuki Sawa, Umit Cali, Vladislav Berezovsky, Hannah Davis, Subhendu Subhendu, Gregor Karlovsek, Alex Barakat, Vivek Bhandari, Ivan Ostheimer, Jemma Green

Electrical and Computer Engineering Publications

On the wave of the development of new ICT technologies and renewable energy, the power system will certainly experience great changes to its outdated architecture over the next several decades. One of the key drivers of change in the power system is distributed energy resources. They are completely changing the paradigm of the power system as a system with a centralized hierarchy and one-way power flows from generation to customer and from high voltage to low voltage. Because the goals of net zero greenhouse gas emissions are gathering pace and are being accepted by countries around the world, slowdown in …

Guest Editorial: Transition Towards Deep Decarbonisation Of Modern Energy Systems, Yujian Ye, Can Wan, Chenghong Gu, Dan Wu, Goran Strbac, Hongjian Sun, Peng Zhang, Rui Bo, Yi Tang, Zhongbei Tian

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Glass-Based Biodegradable Pressure Sensor Toward Biomechanical Monitoring With A Controllable Lifetime, Devdatt Chattopadhyay, Jonghyun Park, Chang-Soo Kim

Mechanical and Aerospace Engineering Faculty Research & Creative Works

A New Class of Potentially Implantable Solid-State Sensors is Demonstrated Utilizing Biodegradable Glass as the Main Structural Material. the Device Behavior is Manipulated Via Chemical Decomposition, and Then Physically Disintegrated in a Controlled Manner. It is based on the Capacitive Sensing Mechanism, Comprising an Elastic Insulator between Two Borate-Rich Glass Substrates. This Mesoscale Pressure Sensor is Characterized by a Range of Pressure of Up to 14 MPa in a Phosphate Buffer Solution Environment. the Sensor Exhibits Good Sensitivity and Reversibility Responding to Compressive Pressures and Remains Fully Functional Before a Desired, Sudden Failure Caused by Dissolution. the Operational Lifetime Can …