Digital Commons Network^™

An Applied Study Of Recycle Waste Application In The External Walls To Improve The Thermal Performance Of The Average Housing Units In Egypt, Christena Kamal Hannaa, Abdel-Monteleb Mohamed Aly, Sayed Shebl Mohamed Shebl, Amr Sayed Hassan Abdallah

Mansoura Engineering Journal

This study examines the importance of using recycled waste in building materials in order to reduce energy consumption and improve the environmental impact of housing projects. The study focuses on the possibility of using recycled waste in building bricks for external walls as one of the building envelope elements in average housing projects in Egypt. Waste such as limestone, polystyrene and rice ashes were used in compressed cement bricks for the external walls to study the effect on thermal conductivity, thermal comfort and energy consumption using a simulation program (Design Builder). The laboratory results found that the use of recycled …

Review Of Bitstreams: The Future Of Digital Literary Heritage, Kara Watts-Engley

Journal of Contemporary Archival Studies

Literary production has always been tied to specific developments in technology. This has become all the more apparent since the advent of personal computing and our digital media age. How might an awareness of technology’s impact then affect the future of literary creation, critique, and preservation? For Matthew Kirschenbaum’s Bitstreams: The Future of Digital Literary Heritage, this is among the core questions of literary, archival, and bibliographic studies in the contemporary digital media age.

A Method To Classify Consumers Based On Consumer Spending Pattern, Jyothi Jayakumar

Defensive Publications Series

The present disclosure relates to a method and a system for creating inferred attributes using spend bands and/or basket size of spending. The basket size range may be generated by multiplying an index and range size along each spending group, wherein the spending groups are assigned based on the amount spent by the consumers to purchase one or more items. The present disclosure suggests preparing the input data obtained from a data input device to estimate the age of the consumers. Thereafter, an inferred attribute, that is, inferred age groups are created using spend bands and/or basket size of the …

Using Neural Machine Translation To Translate Between Different Sign Language Forms During A Video Conference, Anusha Kopparam, Ananthi Jairaj, Vinay Kumar Abburi, Donald M Allen, Phd

Defensive Publications Series

Techniques are presented herein that support the efficient conversion of signs from one form of sign language to another while considering the cultural context (e.g., dialect, etc.) of a sign language. Aspects of the presented techniques support the conversion between different sign language forms through a neural machine translation (NMT)-based architecture. Further aspects of the techniques may encompass a contextual frame sampler (which may employ a sign language image database to filter out noise and which may sample frames from an input sign language video), an image normalizer (that may accept as input a sampled image frame and produce as …

Stable Polycyclic Aromatic Carbon (Spac) Content As An Improved Parameter For Determining Biochar Stability, Clement Uguna, Will Meredith, Colin Snape, Philippa Ascough

Bio-Char III: Production, Characterization and Applications

Please click Additional Files below to see the full abstract

Faculty Recital: Daniel Sheridan, Eric Brisson, Kristi Krause, And Harry Hindson, Daniel Sheridan, Eric Brisson, Kristi Krause, Harry Hindson

Music Programs

A faculty recital was performed in the WSU Recital Hall on September 19, 2023, by Daniel Sheridan (clarinet), and supported by Eric Brisson (piano), Kristi Krause (oboe), and Harry Hindson (bassoon). This performance included music from the Romantic Era and the early 20th century.

Chemical Nature, Molecular Structure, And Formation Mechanism Of Biochar: Molecular Dynamics Studies And Experimental Approach, Valentina . Sierra-Jimenez, Jonathan P. . Mathews, Anthony . Dufour, Farid Chejne Janna, Manuel. Garcia-Perez

Bio-Char III: Production, Characterization and Applications

Please click Additional Files below to see the full abstract

Aryanization Bureaucrats In Post-Holocaust Romania, Stefan Cristian Ionescu

History Faculty Articles and Research

This article investigates the post-war life trajectories and careers of eight Aryanization (»Romanianization«) bureaucrats who were involved in the persecution and dispossession of Jews during the pro-Nazi Antonescu regime (September 1940–August 1944). While many of them were removed from the civil service, became unemployed, went into hiding, or were arrested, others thrived – at least temporarily – thanks to their skilful navigation of the post-Antonescu transition, their highlevel connections with the political establishment, and the ability to claim certain merits for their behavior before August 1944, either as victims of or by resisting against the Antonescu regime. However, most of …

Research On The Complex Grid Investment Decision Indexes System Under The Integrated Source‑Grid‑Load‑Storage Environment, Zheliang Zhang, Pei Xia, Xiaoxing Zhang, Cheng Zhang, Yinglun Chen, Shuzhen Wang

Journal of Electric Power Science and Technology

A complex grid investment decision indexes system is established from the single component and multiple interactions of source‑grid‑load‑storage. To take the interdependence and feedback relationships of the indexes on each side of the complex grid into account, the ANP‑EWM combined weighting method is introduced into the investment decision, considering the preferences of decision makers and the information contained in the indicators. Firstly, the unilateral indices of source, grid, load and storage in complex grids and the interaction indices considering grid‑source interaction, load‑grid interaction, source‑load interaction, source‑storage interaction, load‑storage interaction and grid‑storage interaction are proposed to establish the investment decision index …

Acceptance Capacity Calculation Based On Instantaneous Kurtosis Evaluation Of Charging Facilities, Yanping Liu, Xin Li, Shunqi Zeng, Guohua Huang, Wenyang Deng

Journal of Electric Power Science and Technology

Under the background of "carbon neutralization" and "carbon peak", in order to alleviate the pressure of distribution network capacity expansion caused by large‑scale electric vehicle access, a capacity evaluation method of distribution network receiving charging facilities is proposed considering instantaneous kurtosis. Firstly, the calculation models of regional existing load and charging load are established. Secondly, taking the full‑time power flow calculation results as security constraints, an acceptance capacity evaluation method based on bisection cyclic approximation method is proposed. Finally the maximum acceptance capacity is calculated by the method. In the case study, the acceptance capacity of charging facilities under different …

Resonance Characteristics And Suppression Of Grid‑Connected Inverter System Considering Cable Distributed Capacitance, Jikai Chang, Qin Shu, Hongxin Li, Bojian Chen

Journal of Electric Power Science and Technology

The impedance interaction between the inverter and the grid cannot be avoided. When the distributed capacitance of the transmission cable is large and cannot be ignored, multiple resonance points will appear in the grid‑connected system of the inverter, which is easy to cause high‑frequency resonance. From the perspective of impedance interaction, this paper uses passivity theory to analyze the potential unstable region of grid‑connected inverter system, and the influence of line length and grid side impedance on the resonant frequency of grid‑connected inverter system. Aiming at the problem of high frequency resonance of the system, the active damping method of …

Study Of Insulator Fault Detection Algorithm Based On Improved Cascade R‑Cnn Network, Julaiti Abulizi, Yulong Liu, Liu Cao, Jie Huang, Yong Zhang, Yanqing Zhu

Journal of Electric Power Science and Technology

Aiming at the low accuracy problem of insulator fault detection caused by the fault position occupies a small proportion in the image and complex background environment in aerial images, an insulator fault detection method based on optimized Cascade R-CNN model is proposed in this paper. Based on the original Cascade R-CNN model, deformable convolution is inserted into the backbone network to learn geometric transformation capabilities, and balance loss function is introduced in the detector to balance difficult and easy samples. In the model training phase, the faulty insulator samples are enriched by using Copy-Paste and Mosica, and the positive and …

State Estimation Method For Distribution Networks Based On Node Degree Search Partitioning, Xinhe Zhang, Kaicheng Liu, Chen Liang, Ming Zhong, Guixiong He

Journal of Electric Power Science and Technology

With the expansion of the distribution network scale, the traditional centralized state estimation algorithms require increasingly complex model construction, leading to increased computational complexity during the solution process, reduced timeliness and accuracy of the state estimation. Aiming at this problem, a distribution network state estimation method based on node degree search partitioning is proposed. Firstly, a node degree search partitioning method based on balanced regions is proposed, and the measurement model and distributed state estimation model for the distribution network are designed. Secondly, the distributed state estimation model is solved in three stages. Finally, the IEEE 30 node distribution system …

An Improved Current Differential Protection Scheme For Annular Active Distribution Networks, Keyan Liu, Xueshun Ye, Zhao Li, Lai Wei, Bo Li

Journal of Electric Power Science and Technology

In order to improve the power supply reliability and the source acceptance capacity of distribution networks, the active ring network has become one main development trend of the distribution network. However, the connection of numerous distributed power sources will impact the power flow and fault characteristics, and thus reduce the performance of the traditional three‑stage current protection scheme. In this regard, an improved current differential protection scheme is proposed for annular active distribution networks in this paper. Firstly, the expressions for the relationship between the fault currents inside and outside the annular active distribution network are derived, and thus the …

Application Of Genetic Algorithm Optimization Based Bp Neural Network In Fault Diagnosis Of Distribution Network, Shenglong Qi, Xiang Lu, Haitao Liu, Lin Zhu, Fang Wang

Journal of Electric Power Science and Technology

As a typical network model of artificial neural network, BP neural network has been widely used in fault diagnosis of distribution network. However, due to the randomness of initial weight and initial threshold, the diagnosis accuracy is not high in application. Aiming at this problem, a distribution network fault diagnosis method based on genetic algorithm optimization of BP neural network is proposed. The initial weight and threshold of BP neural network are optimized by genetic algorithm, and the fault diagnosis results are compared with those of traditional neural network in the calculation example. Finally, the simulation errors of the two …

Research On Vector Calculation And Distribution Of Steel Core Magnetic Flux Leakage In High Voltage Transmission Conductor Considering Broken Strand Angle, Chao Zhou, Wei Wang, Chaozheng Wei

Journal of Electric Power Science and Technology

Many existing studies on the magnetic flux leakage of broken strands in the steel core only consider geometric parameters such as length, width and depth of the broken strands, and the impact of the broken strand angle on the leakage field has rarely been discussed. Therefore, this paper establishes a 3D finite element model of a steel core magnetic flux leakage detection device to analyze the magnetic flux leakage vectors Bx, By and Bz under 12 different broken strand angle conditions. By comparing the three vectors, the vector direction which is most sensitive to detecting broken strand faults is obtained. …

Research On Gis Mechanical Defect Diagnosis Method Based On Emd‑Fft Feature Extraction, Jichong Liang, Tao Jin, Shu Niu, Xuan Wang, Naijun Sun, Yanfeng Song, Junhao Li

Journal of Electric Power Science and Technology

Mechanical defects of gas insulated switchgear (GIS) may occur in the process of assembly and long‑term operation. Detecting and diagnosing mechanical defects is of great significance to ensure the reliable operation of GIS. At present, scholars have carried out a large number of vibration signal detection. However, the result analysis is mostly time‑frequency analysis based on FFT (fast Fourier transform), and the diagnostic methods for vibration‑signal feature extraction under different typical mechanical defects is deficient. Therefore, based on the basic principle that frequency characteristics differences exists in the vibration signals of different typical mechanical defects, the method adopting EMD‑FFT joint …

Measurement Method For Thickness Of Uneven Icing On Transmission Line In Complex Background, Xiaoqian He, Xianyong Wu, Yewen Wei

Journal of Electric Power Science and Technology

To enhance the measurement accuracy of icing thickness on transmission lines, a novel method for measuring the thickness of uneven icing on transmission lines in complex background images was proposed. Firstly, a series of preprocessing steps, including image grizzling, median filter denoising, and maximum inter-class variance method, were applied to the transmission line icing images. Subsequently, by leveraging the connected domain characteristics of transmission line icing information and background noise, the contour of the icing transmission line was extracted from the complex background. Finally, to address the issue of local uneven icing thickness, a vertical approximation method was employed to …

Jackson State University The Sonic Boom Of The South: Strategies For Recruitment And Retention Through Marching Band Enrollment, Ramon Latrell Jackson

Doctoral Dissertations and Projects

Athletic sports and the university marching band play a central role in the success of tertiary institutions as they are the most effective recruitment tools for colleges and universities. They project an institution's vision, values, and identity, which are critical aspects appealing to potential learners. There is a concern about low recruitment and retention rates in institutions of higher learning. To address the low enrollment issues, historically black colleges and universities are reinvesting and funding marching bands since they are central to their ability to attract potential students. In addition, the marching band's effect on an institution influences its ability …

Mindfulness To Reduce Math Anxiety And Improve Math Performance, Hannah E. Murch

Masters Theses

Math anxiety, the negative emotional response to math, is a common educational issue observed globally and across many grade levels. Additionally, it negatively impacts math performance and constrains long-term math achievement. Anxious ruminations strain mental resources and encourage avoidance behaviors such as procrastination. The prevalence and detrimental influence of math anxiety necessitate that educators mitigate math anxiety’s negative impact in the classroom. Previous research suggests interventions emphasizing mindfulness, which is the intentional awareness of the present moment, can combat the ruminations of math anxiety. When complemented with interventions on growth mindset, which is the belief that intelligence can grow and …

A Hybrid Modulation Strategy For Mmc With Controllable Quantization Error, Jing Chen, Tao Zhao, You Xu, Yibin Tao, Chunlin Wang, Quan Sun

Journal of Electric Power Science and Technology

Due to the low voltage level in the medium and low voltage distribution network, the number of modular multilevel converter (MMC) sub‑modules is also small. Therefore, the modulation strategy of MMC with few sub‑modules MMC has an important impact on the performance of the MMC system. In order to improve the total harmonic distortion (THD) of output waveform under nearest‑level modulation and reduce large switching loss under carrier phase‑shift modulation of the few‑sub‑module MMC system, a quantization error setting method is proposed for the minority module MMC system under nearest level approximation modulation. The quantization error is a new MMC …

Influencing Air Force Logisticians' Information Seeking During The Covid-19 Pandemic: The Role Of Organizational Meetings In An Expanded Prism Framework, Matthew D. Roberts, Christopher T. Price, Seong-Jong Joo

Faculty Publications

Purpose: This research aims to understand how organizational workplace meetings surrounding the COVID-19 pandemic impacted logistics Airmen across the United States Air Force and how these meetings impacted their risk seeking behavior on social media.

Design/methodology/approach: This survey research tested an extended Planned Risk Information Risk Seeking Model (PRISM) with organizational meetings as an antecedent to determine if current meetings influenced an Airman's perceived behavioral control, attitude toward seeking, subjective norms, knowledge sufficiency and intention to seek information regarding COVID-19.

Findings: Results of the CFA showed that the expanded PRISM model had good model fit. Additionally, using …

Microfluidic Device And Method Using Double Anodic Bonding, Diane Peters, Stephen Forest, Gregory Mcgraw, Siddharth Harikrishna Mohan

Mechanical Engineering Patents

A microfluidic device for use with a microfluidic delivery system, such as an organic vapor jet printing device, includes a glass layer that is directly bonded to a microfabricated die and a metal plate via a double anodic bond. The double anodic bond is formed by forming a first anodic bond at an interface of the microfabricated die and the glass layer, and forming a second anodic bond at an interface of the metal plate and the glass layer, where the second anodic bond is formed using a voltage that is lower than the voltage used to form the first …

Machine Learning And Causality For Interpretable And Automated Decision Making, Maria Lentini

Theses and Dissertations

This abstract explores two key areas in decision science: automated and interpretable decision making. In the first part, we address challenges related to sparse user interaction data and high item turnover rates in recommender systems. We introduce a novel algorithm called Multi-View Interactive Collaborative Filtering (MV-ICTR) that integrates user-item ratings and contextual information, improving performance, particularly for cold-start scenarios. In the second part, we focus on Student Prescription Trees (SPTs), which are interpretable decision trees. These trees use a black box "teacher" model to predict counterfactuals based on observed covariates. We experiment with a Bayesian hierarchical binomial regression model as …

A Probabilistic View Of Protein Stability, Conformational Specificity, And Design, Jacob A. Stern, Tyler J. Free, Kimberlee L. Stern, Spencer Gardiner, Nicholas A. Dalley, Bradley Charles Bundy, Joshua L. Price, David Wingate, Dnnis Della Corte

Faculty Publications

Various approaches have used neural networks as probabilistic models for the design of protein sequences. These "inverse folding" models employ different objective functions, which come with trade-offs that have not been assessed in detail before. This study introduces probabilistic definitions of protein stability and conformational specificity and demonstrates the relationship between these chemical properties and the p(stucture|seq) Boltzmann probability objective. This links the Boltzmann probability objective function to experimentally verifiable outcomes. We propose a novel sequence decoding algorithm, referred to as “BayesDesign”, that leverages Bayes’ Rule to maximize the p(stucture|seq) objective instead of the p(seq|structure) objective common in inverse folding …

A Case Study Of Diverse Faculty Recruitment In A Graduate Higher Education Institution, Miguel Valenzuela

Doctoral Dissertations and Projects

The purpose of this collective case study was to describe higher education faculty’s experience with recruitment and retention through the university hiring process and to discover the equity standards of the phenomenon for higher education institutions. The importance of recruitment and retention of diverse faculty within higher education institutions is imperative for the health of the institution and will assist in furthering diversity initiatives for faculty recruitment that will enable better student experiences. The theory guiding this study was critical race theory (CRT) that was initially intended to be used in the legal field. However, CRT has been used in …

Cognitive Machine Individualism In A Symbiotic Cybersecurity Policy Framework For The Preservation Of Internet Of Things Integrity: A Quantitative Study, Gary C. Wong

Doctoral Dissertations and Projects

This quantitative study examined the complex nature of modern cyber threats to propose the establishment of cyber as an interdisciplinary field of public policy initiated through the creation of a symbiotic cybersecurity policy framework. For the public good (and maintaining ideological balance), there must be recognition that public policies are at a transition point where the digital public square is a tangible reality that is more than a collection of technological widgets. The academic contribution of this research project is the fusion of humanistic principles with Internet of Things (IoT) technologies that alters our perception of the machine from an …

A Transcendental Phenomenological Study Of The Lived Experiences Of Middle Managers: Self-Determined Lifelong Learning In The Banking Industry, Daniel K. Ray

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the experiences of middle managers in the banking industry practicing heutagogy to develop lifelong learning skills. The theory guiding this study is Deci and Ryan’s self-determination theory and its relationship with lifelong learning. This study aimed to answer the central research question: What are the lived experiences of middle managers in the banking industry practicing heutagogy to develop lifelong learning skills? Data collected from individual interviews, focus groups, and journal prompts were synthesized using open and axial coding to identify patterns and connections in the resulting data. Data analysis followed …

Examining Religiosity, Spirituality, And Work-Life Choice Among Graduate Psychology Students In U.S. Programs, Patrick T. Slowinski

Doctoral Dissertations and Projects

Religiosity and spirituality have been found to positively affect health, longevity, and happiness in some studies. However, a dearth of U.S. - based research on the relationship among religiosity and spirituality and work-life choice (also known as work-life balance, work-life conflict, and work-life integration) exists. Therefore, the aim of this study was to examine the relationship among religiosity and spirituality and work-life choice in online graduate psychology programs at universities in the United States. One hundred forty-three respondents completed 44 Likert-scaled items from previously validated instruments: the Spiritual Intelligence Self-Report Inventory-10 (SISRI-24), the Religious Commitment Inventory-10 (RCI-10), and the Work-Life …

Impact Of Leadership For Startup Companies, Emem Okon Akpanekong

Doctoral Dissertations and Projects

Startups play a vital role in employment opportunities, creating new markets, and economic developments in a nation. However, several challenges, such as financial and scalability factors, confront startups at the initial stages because of the highly uncertain startup business environment. Recent research has confirmed that the development of startups is indeed connected to leadership. A literature review revealed that entrepreneurial leadership, as opposed to mainstream leadership theories, is more suitable to explain the complex leadership process in startup growth and development. A qualitative, single case study was conducted to investigate the leadership characteristics of successful startup founders to explain the …