Engineering Commons^™

Automated, High-Resolution, Three-Dimensional Pest Scouting In Orchards Using Aerial And Ground Vehicles, Sierra N. Young

Funded Research Records

No abstract provided.

Interfacial Engineering Of Electrodes And Solid-State Electrolytes For High-Performance Lithium-Ion And Sodium-Ion Batteries, Ahmad Helaley

McKelvey School of Engineering Graduate Student Theses & Dissertations

The rapid expansion of electrified transportation and renewable energy integration demands advanced lithium-ion (Li-ion) and sodium-ion (Na-ion) batteries with enhanced safety, long-term reliability, and high energy efficiency. However, conventional systems employing liquid electrolytes continue to exhibit persistent failure modes, including thermal instability, parasitic interfacial reactions, transition-metal dissolution, and electrode degradation under high-voltage or fast-charging conditions. These limitations become even more critical in solid-state configurations, where insufficient ion mobility and interfacial incompatibility can severely restrict electrochemical performance. The first part of this dissertation develops an atomic-layer-scale interfacial stabilization strategy using atomic layer deposition (ALD) coatings. ZnO-modified graphite anodes in Li-ion cells …

“What You Bring Matters”: A Case Study Of Middle School Engineering Teachers’ Pedagogical Content Knowledge, Jessica D. Gale, Dyanne Baptiste Porter, Meltem Alemdar, Sunni H. Newton, Abeera P. Rehmat, Jasmine Choi

Journal of Pre-College Engineering Education Research (J-PEER)

Precollege engineering teachers bring unique backgrounds to their teaching practice. Many follow nontraditional routes to teaching engineering, often coming from teaching other subjects or careers in other fields. Among the many variations influencing engineering teaching practices is pedagogical content knowledge (PCK). This multiple case study explores the PCK of five middle school engineering teachers implementing the same middle school engineering curriculum, STEM innovation and design (STEM-ID). STEM-ID engages students in contextualized challenges that incorporate foundational mathematics and science and advanced manufacturing tools such as computer-aided design and 3D printing while introducing engineering concepts such as pneumatics, aeronautics, and robotics. Drawing …

Controlling Of Monopile Seismic Response Using Concrete Skirt, M. Mancy, T. Sorour, M. Abdel-Motaal

HBRC Journal

Bridges are considered one of the major infrastructure projects that pose many challenges for design and construction. This is because they require highly efficient structural systems that last for many years, require minimal maintenance, and provide a short construction period. Monopiles are the most common foundation system concept in wind turbines, but they have also proven to be an economically sound foundation solution in bridge foundation systems (as seen in monorails, railway bridges, bridges extensions and ramps) owing to their simple design, easy construction, low manufacturing costs, and minimal excavation work. However, the durability of bridges resting on monopiles …

Model Verification With Experimental Tests Data Of Slender Pipe Steel Columns Strengthened With Filling Of Eps Concrete, M. S. Hasaneen, M. E. Abdel-Ghaffar, M. Ragaee

HBRC Journal

Thin-walled steel circular hollow sections (CHS) with concrete infill have been widely investigated in previous research. The aim of this study is to investigate the behavior of axially loaded thin-walled CHS tubes filled with lightweight concrete, with the goal of achieving the lightest possible column weight while providing optimal axial capacity. Three concrete mixes incorporating Expanded Poly-Styrene (EPS) aggregates instead of conventional gravel were used. The dry densities of the mixes were 1000, 1100, and 1400 kg/m$^3$, and their compressive strengths were 3.8, 6.3, and 13 MPa, respectively. A comparison was conducted between bare steel columns and EPS-filled columns to …

Harnessing Higher Education For Regional Transformation: Case Of King Salman International University, South Sinai, Egypt, Ashraf S. Hussein, Dalia A. Elsorady

HBRC Journal

As the globe becomes more urbanised, anchor Higher Education Institutions (HEIs) are becoming increasingly crucial to the well-being of cities and communities. Egypt's Vision 2030 positions universities as key pillars of national development, aiming to transform them into fourth-generation universities that foster innovation, research, entrepreneurship, and community service. The plan aligns education with economic needs, promotes a knowledge economy, and improves quality of life through digital transformation and specialized institutions to meet rising demand and accomplish Sustainable Development Goals. This paper explores the role of fourth-generation universities as anchor institutions in promoting regional development, considering various aspects, including education, urban, …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Population Satisfaction Indicators Of The Quality-Of-Life Standards During The Work Trip (A Case Study Of The Cities Of Minia And New Minia), Shimaa Mohammed Hamdy Derbala, Amna Waz Amgad Ali

Mansoura Engineering Journal

The research examined the indicators of population satisfaction with the quality of life during work trips in the cities of Minia and New Minia, in relation to the problem of low urban communication between the two cities and the continued dependence of debtors on each other to provide employment opportunities. The research examined previous studies linking the quality of life of work trips to the environmental, social and psychological aspects of the movement and economy, A questionnaire was designed for a sample of the population (388 individuals) to assess the residents' impression of the quality of life during their work …

Simulating Cyber-Resilience: The Strategic Role Of The Locked Shields Exercise In Enhancing International Cyber Preparedness, Christopher A. Ramezan, Ludwig Christian Schaupp, Elizabeth A. Vitullo, William J. Walker

Journal of Cybersecurity Education, Research and Practice

As cyberthreats to critical infrastructure remain prevalent, national response mechanisms must evolve beyond the technical domain to incorporate legal, communicative, strategic, and cross-sector coordination. This work explores Locked Shields, an annual exercise conducted by NATO's Cooperative Cyber Defence Centre of Excellence, as a pedagogical and conceptual framework for simulating whole-of-government responses to cyber incidents. Unlike traditional cyber exercises, Locked Shields engages legal advisors, media strategists, and civil-military roles in realistic, scenario-driven simulations that portray the political and operational conditions of a real international-scale cyber crisis. We detail the exercise architecture, contrast with other cyber exercises, and assess its pedagogical and …

A New Highly Oxygen-Deficient And Cubic Pr3Zro8-Δ For Intermediate-Temperature Thermochemical Production Of Oxygen And Hydrogen, Jiaxin Lu, Yongliang Zhang, Luhong Chen, Yan Chen, Ke An, Yasser Shoukry, Xinfang Jin, Zhi-Hao Wang, Sai Mu, Kevin Huang

Faculty Publications

Two-step thermochemical cycles offer a clean route for hydrogen and oxygen production but are typically limited to high temperatures exceeding 1500 °C. Lowering operating temperatures would enable the use of alternative heat sources such as industrial waste heat. Here, we report Pr₃ZrO₈ as a new enabling material for efficient intermediate-temperature redox cycling, with thermal reduction at 900 °C in argon and steam oxidation at 400 °C. Pr₃ZrO₈ adopts a face-centered cubic structure similar to CeO₂ but exhibits significantly greater oxygen deficiency, achieving average oxygen and hydrogen fluxes of 331.7 and 70.3 µmol·g-1, respectively, …

Isolated Bacillus Licheniformis Sp01 From Daqing Oilfield In Reducing Chromium(Iii) Crosslinked Polymer Residue And Enhancing Oil Recovery, Xiao Hui

Student Works (2020-2029)

After polymer gel formation, the residual partially hydrolyzed polyacrylamide (HPAM) and the crosslinker (Cr3+) caused plugging and decreased oil recovery. Microorganisms can degrade HPAM to address the issues, but Cr³⁺ inhibits the process and reduces oil recovery. This study explores the underexamined biodegradation of HPAM and improved oil recovery in the presence of Cr³⁺, offering new perspectives for microbial enhanced oil recovery (MEOR) after polymer gel formation. HPAM and crude oil were innovatively used as the sole nitrogen(N) and carbon(C) sources to isolate the best-growing strain from Daqing Oilfield produced water, identified as Bacillus licheniformis SP01. The oil displacement potential …

Strategies For Sustainable And Inclusive Outdoor Wayfinding In Healthcare Facilities: An Approach To Enhance User Experience At Kafr Alsheikh University Hospital, Egypt, Rania Abd Allateef Ghanam, Ahmed Salah El-Deep

Mansoura Engineering Journal

Outdoor wayfinding plays a critical role in shaping user experience in healthcare environments, where inadequate navigation can heighten stress and hinder timely access to care. Despite the presence of wayfinding systems in many hospitals, outdoor navigation remains underexamined and inconsistently addressed in design guidelines. This study fills this gap by investigating architectural strategies to enhance outdoor wayfinding and reduce user stress. The research focuses on Kafrelsheikh University Hospital in Egypt and applies a twophase methodology: (1) a comprehensive literature review to identify current principles, guidelines, and best practices in outdoor wayfinding, and (2) an on-site case study to assess existing …

The Impact Of Integrating Social Benefit Requirements For Urban Green Infrastructure And Place Identity Attributes To Enhance The Sense Of Place - Case Study Of Central Park, Madinaty, New Cairo City, Egypt, Ibrahim Magdi Mohammed, Rehab Abdelfatah Abdel Aziz Mahmoud

Mansoura Engineering Journal

This research develops an integrated model that links the social benefit requirements of Urban Green Infrastructure (UGI) with the non-physical attributes of Place Identity (PI) to enhance the Sense of Place (SOP) in contemporary urban environments. The need for this integration arises from limitations in current planning frameworks, which often prioritize ecological performance while overlooking cultural, perceptual, and behavioral dimensions that shape user attachment and belonging. The study adopts an inductive and synthesis-based approach to identify key UGI indicators across environmental, social, economic, and spatial dimensions, alongside PI attributes related to places’ legibility, uniqueness, publicness and territoriality, place’s identification. To …

Enhancing Thermal Energy Storage Efficiency Using Optimized Concrete Materials: A Review, Ahmed Mohamed Abbass, Ahmed M. El-Khayatt, Khaled A. Eltawil

Mansoura Engineering Journal

The increasing global energy demand and the environmental impact of fossil fuels necessitate the development of sustainable energy solutions. Solar energy is a promising alternative, but its intermittency and inefficiency limit its widespread adoption. This study explores the role of advanced concrete-based thermal energy storage systems in addressing these challenges. Key aspects examined include packing density optimization, high-temperature performance, and hydrothermal durability of concrete. The research highlights the importance of granulometric optimization, binder selection, and hydration mechanisms in enhancing concrete properties. Additionally, the effects of heat exposure on concrete durability, permeability, and mechanical strength are analyzed, with a focus on …

Optimized Thermal Management Of Cylindrical Lithium-Ion Batteries Using Circular Fins And Forced Air-Cooling, Mohamed M. Donia, Ahmed A. Hegazi, Mohamed A. Aziz, Osama Abdelrehim

Mansoura Engineering Journal

The Battery Thermal Management System (BTMS) is vital for maintaining the optimal performance, safety, and longevity of electric vehicle batteries by keeping their temperature within a desired range. This study proposes an optimized cooling solution for BTMS based on both experimental and numerical investigations. Experimental tests were performed on a single battery cell under discharging rates of 1C, 2C, 3C, and 4C using an electronic load, with thermal performance evaluated under natural convection. Numerical models simulating both forced and natural convection were developed using ANSYS 19.3, and a combined Computational Fluid Dynamics (CFD) and Response Surface Methodology (RSM) approach was …

Verification Of Offline Signature Based On A Hybrid Dense-Attention-Residual-Cnn Structure Optimized By Grey Wolf Algorithm, Zeyad T. Salim, Mahmoud M. Saafan, Eman M. El-Gendy

Mansoura Engineering Journal

Signature verification is a necessary vision task with prevalent use in securing realworld applications. Offline signature is a popular type that needs to efficacious approach to be checked due to the depending on the paper time and the written tool. The progress in intelligent algorithms participates in supporting simple way authentication-based signatures. In this research work, an offline signature verification (OSV) based on an optimized and costumed convolutional neural network(CNN) infrastructure is suggested. The CNN is costumed by integrating residual, dense, and attention mechanisms, then optimized by applying a grey wolf optimization(GWO) algorithm. The system is trained and tested with …

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

Volcanic Plume Height During The 2021 Tajogaite Eruption (La Palma) From Two Complementary Monitoring Methods-Implications For Satellite-Based Products, África Barreto, Francisco Quirós, Omaira E. García, Jorge Pereda-De-Pablo, Daniel González-Fernández, Andrés Bedoya-Velásquez, Simon Carn, Et. Al.

Michigan Tech Publications

Volcanic emissions from the Tajogaite volcano, located on the Cumbre Vieja edifice on the island of La Palma (Canary Islands, Spain), caused significant public health and aviation disruptions throughout the eruption (19 September–13 December 2021, officially declared over on 25 December). Nonetheless, it is considered the most significant volcanic event in Europe over the past 75 years due to the substantial amount of SO2 released into the atmosphere. The Instituto Geográfico Nacional (IGN), the authority responsible for volcano surveillance in Spain, implemented extensive operational monitoring to track volcanic activity and to provide a robust estimation of the volcanic plume height …

Digital Twin Enabled Robot Collision Detection Using Time Series Forecasting, Fadi El Kalach, Mojaba A. Farahani, Philip Samaha, Thorsten Wuest, Ramy Harik

Faculty Publications

The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes of operational data. This data surge has fueled the development of advanced Artificial Intelligence (AI) applications, enhancing manufacturing intelligence and efficiency. A key enabler of such intelligence is Time-Series Forecasting (TSF), which leverages historical data to predict future trends and events, thereby providing actionable insights for proactive decision-making. In parallel, Digital Twin (DT) technology has gained significant prominence due to its capacity for bidirectional communication with physical manufacturing systems, enabling …

Approaching Lower Bound Of Lattice Thermal Conductivity By Simultaneously Suppressing Diagonal And Off-Diagonal Phonon Contributions, Alejandro David Rodriguez, Riccardo Rurali, Changpeng Lin, Joshua Ojih, Mohammed Al-Fahdi, G. Jeffrey Snyder, Ming Hu

Faculty Publications

Pushing the intrinsic lattice thermal conductivity (LTC) in crystalline materials to lower bounds is crucial for fundamental materials research towards emerging technologies including thermoelectric energy conversion and thermal management in both hypersonic aircraft and next-generation turbine systems. However, in the ultralow LTC regime ( <  1 Wm-1K-1), the competition between propagative (particle-like) and coherent phonons—arising from off-diagonal components—poses a significant challenge in further reducing LTC. We perform quantitative analysis of 4700 materials using density functional theory (DFT), spanning all crystallographic groups, to elucidate the interplay between diagonal and off-diagonal phonon contributions. We identify a critical balance between these transport mechanisms, where intermediate phonon lifetimes ( ~ 1 ps) and slow group velocities ( ~ 1 km/s) collectively suppress both contributions, enabling ultralow LTC. Results from a large dataset of 31,058 structures by machine learning models strongly resemble the DFT trends of two-channel phonon transport. Leveraging these models, we screen 25,882 additional materials and confirm their properties with DFT, identifying 12 candidates with ultralow room-temperature LTC—including a record-low value of 0.132 Wm-1K-1. Our large-scale analysis reveals fundamental insights into dual-channel phonon transport, enabling rational design of ultralow LTC materials and accelerating the discovery of advanced phononic crystals with tailored thermal transport properties.

A Holistic Modelling Framework For Functionally Safe Software Architectures In Embedded Control Systems, Thomas Barth

Doctoral

Embedded control systems are integral to most modern electrified products and an essential backbone of ongoing digitalisation [1]. In this context, these systems increasingly perform safety-critical functions where failures can lead to severe personal injury, environmental damage, or significant economic loss [2]. Consequently, they fall more often within the scope of regulation such as IEC 61508 and its derivatives [3]. At the same time, driven by hardware evolution and market demands, embedded control systems continue to grow in both integration density and functional complexity [4]. These demands necessitate structured development methods that balance compliance with cost-efficiency and development agility. A …

Tribological Properties Of Aisi 420 Esr Stainless Steel Modified By Sequential Boriding And Nitriding, Melvyn Alvarez Vera, Rafael Carrera Espinoza, Valeria López López, Marc Wettlaufer, Stefan Barth, Juan Carlos Díaz Guillén, Héctor Manuel Hernández García, Rita Muñoz Arroyo, Javier A. Ortega, Marco A. Cruz-Gómez

Mechanical Engineering Faculty Publications

This study investigates the effects of surface thermochemical treatments using boriding, nitriding, and boronitriding on the microstructure and mechanical properties of martensitic stainless steel AISI 420 ESR. Powder-pack boriding, gas nitriding, and sequential boronitriding processes were applied to enhance surface hardness, wear resistance, and adhesion. The microstructural and mechanical properties of the surface samples were analyzed using scanning electron microscopy, energy-dispersive spectroscopy, X-ray diffraction, microhardness, and nanoindentation testing. Tribological behavior was analyzed using a pin-on-disk tribometer under dry-sliding wear conditions, with applied normal loads of 5 N and 10 N and a sliding distance of 1000 m. The results showed …

Strategic Research On Rebco High-Temperature Superconducting Tapes, Tianping Ying, Dongliang Wang, Pengtao Yang, Lin Zhao, Zhongtang Xu, Ziyi Liu, Chao Yao, Yanwei Ma, Xingjiang Zhou, Jinguang Cheng, Zhong Fang

Bulletin of Chinese Academy of Sciences (Chinese Version)

High-temperature superconducting materials, represented by REBCO (REBa2Cu3O7-δ, where RE denotes rare-earth elements), are of significant strategic importance in fields such as energy, healthcare, and large-scale scientific facilities due to their excellent performance in the liquid nitrogen temperature range. However, they still face severe challenges in long-tape uniformity, production cost, and engineering reliability. Future development must shift toward a “material-processing-application” collaborative innovation model, aiming at enhancing flux pinning, optimizing the interfaces and mechanical properties of the multilayer structure, and integrating scalable and intelligent fabrication technologies to promote the low-cost and stable production of high-performance tapes. This study analyzes the core application …

Opportunities And Challenges In Synthetic Biology For Manufacture Of Bulk Chemicals, Xiaolin Shen, Qipeng Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Traditional chemical manufacturing, reliant on fossil resources, meets material demands but faces challenges such as resource depletion, environmental pollution, and carbon emissions. This underscores the urgent need for a shift towards green and sustainable production methods. Biomanufacturing, which uses renewable resources to produce chemicals, offers a promising pathway for the chemical industry’s green transition. In recent years, biomanufacturing has emerged as a key area of global attention. Through synthetic biology, bulk chemicals like 1,3-propanediol have been successfully produced. Nevertheless, biomanufacturing of bulk chemicals still faces significant challenges, including high costs, low efficiency, and limited scalability. This is particularly true for …

Trusted Forms—The Case Of Barack Obama’S Birth Certificate, Karl-Heinrich Schmidt, Frederik Schlupkothen

Proceedings from the Document Academy

Documents can be understood as containers for information that enable remote communication between people across space and time. They are therefore fundamentally subject to issues of trust. The theoretical treatment of documents as a means of remote communication has a long history and has arrived in the age of electronic document exchange, as shown by the work of R. T. Pédauque, which is taken as a starting point here.

To take theory further, form-based documents are discussed here as an example. Form-based documents control the information provided by fillers by specifying form fields. The core of this paper is to …

Toward Transparent Bureaucracy: Nlp-Based Document Classification And Power Dynamics In The Srikandi System, Zulfatun Sofiyani, Suprayitno Suprayitno, Faisal Fahmi, Mega Putri Mahadewi

Proceedings from the Document Academy

As the Indonesian government advances digital document management through the SRIKANDI system, challenges persist regarding fragmented and subjective classification practices. This study proposes the integration of Natural Language Processing (NLP)-based classification within SRIKANDI to enhance consistency, transparency, and accountability in document management. Framed by an interdisciplinary theoretical foundation, the study synthesizes Michael Buckland’s document theory, viewing documents as dynamic social evidence, with Michel Foucault’s theory of power, highlighting classification as an exercise of institutional authority, and NLP methodologies that enable automated, content-driven categorization. The study positions documents as both technological artifacts and political constructs, whose classification practices simultaneously structure meaning …

Exploring Noise Induced Extreme Events In Neuronal Oscillators Networks And Machine Learning Forecasts, Hariharan S Mr

Theses and Dissertations

This doctoral dissertation comprehensively investigates the underexplored phenomenon of noise-induced extreme events (EE). The word “extreme” is accompanied by an occurring “event” when the deviation is extreme or higher than that of regular occurrences. These extreme occurrences are rare, abrupt, sudden, and irregular, often causing a profound impact on the system and its surroundings. Tsunami, earthquakes, solar flares, and tornadoes are such events that do not occur often but still significantly cause damage to mankind. This thesis particularly focuses on EE in neuronal systems where sudden synchronization can trigger seizures, tremors, and strokes which serve as classic examples of such …

Research On System And Application Framework Of Tactical Wargaming Simulation Driven By Ai4s, Dayong Liu, Qisheng Guo, Zhiming Dong, Xuehuan Qiu, Zhuoli Liu

Journal of System Simulation

Abstract: Tactical wargaming simulation, as a crucial tool for combat analysis, simulation training, and equipment demonstration and test, has become a significant means for generating combat effectiveness. Integrating AI into simulation not only enhances simulation efficiency but also diminishes reliance on humans. To assist professionals engaged in tactical wargaming simulation in mastering AI application methods, fostering a systematic mindset, and understanding evolving trends, this paper provided a concise overview of the principles behind AI for science (AI4S). Subsequently, it conducted an analysis of AI4S's application effectiveness in tactical wargaming simulation, established an AI4S-driven wargaming simulation system, and elucidated its composition, …

Social Cognition Simulation With Large Language Model-Driven Agents, Mingxin Zhang, Jinxuan Wu, Rui Zhu, Yunlong Wang, Wenjuan Meng, Zhe Liu, Xu Li, Xiaolei Chen, Yuxuan Liang, Yi Zheng, Xiangyang Xue

Journal of System Simulation

Abstract: With the continuous evolution of the capabilities of generative LLMs, their application in social cognition simulation is demonstrating paradigm-shifting potential. Traditional social simulation methods predominantly rely on static rules and simplified behavioral models, making it difficult to capture the dynamic evolution and cultural complexity of human social behavior. LLM-driven agents, equipped with contextual understanding and natural language generation capabilities, are emerging as novel tools for modeling social cognitive mechanisms, enabling the simulation of complex sociopsychological processes such as identity construction, value judgment, and intentional reasoning. This paper briefly introduced the technical foundations of LLMs and highlighted their suitability for …

Integrated Development Environment For Digital Test Applications Based On Cloud-Edge-End Architecture, Wenguang Yu, Qun Li, Hongjie Dang, Hao Chen, Ping Yang

Journal of System Simulation

Abstract: Digital test applications need to be constructed using the unified digital test development tool. After analyzing the features of digital test applications such as large-sample autonomous run, high computational efficiency requirement, and diverse task scenarios, this paper proposes the integrated development environment (IDE) for digital test applications based on cloud-edge-end architecture. The layered expandable architecture, the hybrid integration framework of multi-source heterogeneous models, and the cloud-edge-end collaborative deployment architecture are designed for the IDE of digital test applications. The IDE supports the rapid development, integration, and execution of digital test models and enables development of digital test applications on …