Digital Commons Network^™

Efficient Task Allocation Technique For Robots In Smart Warehouse Using Center Of Items (Coi) Methodology, ‪Ahmed Yahya‬‏, Mohamed S. Saraya, Ahmed I. Saleh

Mansoura Engineering Journal

Nowadays, online shopping is very important in Daily life. in 2020 During the quarantine during the spread of COVID-19, online orders increased dramatically, as a result of the great progress in fifth-generation technologies and using the Internet of Things (IoT) and industrial Internet of Things (IIoT), industry 4.0 and 5.0, fog computing, cloud computing, robots systems, and drones systems. Smart warehouses picking system becomes a Basic need and can be implemented to improve efficiency in logistics. Smart warehouses are growing more dependent on robot systems to make the process of meeting these requests more flexible and effective. Therefore, the allocation …

Bio-Papcz: Corn Starch-Based Composite Bioplastic Reinforced With Pineapple Leaf Fiber (Palf), Zinc Oxide (Zno), And Polyvinyl Alcohol (Pva), Marvin C. Caya, Shervin Austin C. Huang, Jovar Khalel J. Maghari, Ruel M. Levida

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Plastic pollution poses a serious global threat, as petroleum-based plastics persist for centuries, and their surging production of over 450 million tons overwhelms ecosystems (Ritchie et al., 2023). Using a quantitative experimental research design, the study examined the effects of varying concentrations of cornstarch-based bioplastic reinforced with pineapple leaf fiber (PALF), polyvinyl alcohol (PVA), and zinc oxide (ZnO) on the bioplastic’s tensile strength and soil degradability. Sample C2 (ZnO 3.0 %w/w; PVA 9.0 %w/w) demonstrated the optimal tensile properties with a tensile strength of 0.76 MPa and an elongation at break of 6.40%, which was attributed to the addition of …

Effects Of Foam Type And Thickness On Impact Resistance, Thermal Insulation, And Cost-Effectiveness Of Medical Containers For Drone Delivery, Josh Henry C. Soriano, Eriel V. Fonte, Lambertsus S. Novera, Nicolai Paolo B. Villarin, Joel B. Jalon, Jr.

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Accessible healthcare remains a challenge for rural communities lacking reliable infrastructure for medical supply delivery. Delivery drones have recently emerged as a viable alternative, dropping medical containers during flight. However, the effectiveness of different foam types and thicknesses combined with corrugated cardboard as shock-absorbing materials in a medical container for delivery drones has yet to be tested. Thus, this study designed cost-effective containers using corrugated cardboard and multiple foam types and thicknesses, aiming to preserve the integrity of the contents, withstand impact, and control temperatures. Four foam types—polystyrene, polyurethane, polyethylene, and expanded polystyrene (EPS) —were tested at 1 cm, 2 …

Uji Kelayakan Teknis Dan Performa Auvest: Rompi Pendingin Otomatis Berbasis Wearable Thermoelectric Cooler Untuk Mitigasi Risiko Heat Stress, Muchammad Adam Wildan, Amelia Avril Rayhana, Nadia Hanifan Nabila, Bian Shabri Putri Irwanto

National Journal of Occupational Health and Safety

Heat stress is a serious threat to construction workers that can reduce productivity and even threaten lives. Existing cooling vest innovations still have limitations, such as weight, manual systems, and the risk of leakage. This study aims to analyze the effectiveness of the Automatic Vest (AUVEST), an automatic cooling vest based on Wearable Thermoelectric Cooler and the Internet of Things (IoT), in preventing the risk of heat stress. The method used is experimental with trials on one construction worker in indoor and outdoor environments. AUVEST is equipped with temperature sensors (DS18B20, TMP102) and humidity (DHT11), whose data is processed by …

Control Strategies For 6-Dof Quadcopter Uavs: Cascade Pid Stabilization In White Noise Conditions, An Vo Van, Hung Ha Duy

Makara Journal of Technology

In this study, a cascade PID control structure is proposed and implemented for a 6-degree-of-freedom (6-DOF) unmanned aerial vehicle (UAV) to enhance stability and trajectory tracking capabilities under both noise and non-noise conditions. The controller was designed based on the Tyreus–Luyben tuning method and was evaluated using quantitative metrics, including rise time, settling time, overshoot, and steady-state error. Simulation results on MATLAB/Simulink show that the controller achieves high performance in angular channels (ϕ, θ, ψ) and altitude (z) with a short rise time (< 2s), slight overshoot (< 1%), and nearly eliminated steady-state error. However, the horizontal position channels (x, y) have a longer settling time (~110s) and are sensitive to white noise. Quantitative comparisons with other control methods show that the cascade PID outperforms the standard PID in terms of accuracy and stability, achieving a performance comparable to LQR under noise-free conditions, but is less robust in the presence of noise than advanced methods like SMC and MPC. These results confirm the feasibility of cascade PID in UAV applications and indicate potential future improvements by integrating nonlinear, adaptive, or intelligent control strategies.

Dual-Interface Wifi Packet Sniffer System Using Esp32-Cam With Real-Time Pcap Generation For Iot Network Analysis, Boy Setiawan Boy, Maghfiroh Maulani, Zico Pratama Putra, Muhammad Senoyodha Brennaf

Makara Journal of Technology

This study focuses on designing and implementing a cost-effective and energy-efficient WiFi packet sniffer system using the ESP32. The ESP32-CAM module, which combines WiFi, Bluetooth, and microSD support, is used to capture IEEE 802.11 frames in real-time via promiscuous mode. Packets are stored in packet capture format, which is compatible with tools such as Wireshark and Scapy. Developed using the official ESP-IDF, it offers low-level control and high performance. Two user interfaces were implemented: a UART-based text menu and a web-based HTTPS menu hosted on the ESP32 itself. Functional and performance evaluations were conducted with a focus on capturing broadcast …

Real-Time Deep Learning Detection Of Toraja Carving Motifs Using Yolo11m For Cultural Heritage Preservation, Herman Herman, Farid Wajdi Mufti, Abdul Rachman Manga, Haidawati Nasir

Knowledge Engineering and Data Science

Toraja carvings are an important part of Indonesia’s cultural heritage, rich in symbolic, aesthetic, and philosophical meaning. However, the identification and preservation of carving motifs still rely on subjective, time-consuming manual processes, limiting scalability and inconsistent knowledge transmission. From a Knowledge Engineering and Cognitive Data Science perspective, this challenge highlights the need for mechanisms that can transform visual cultural artifacts into structured, machine-interpretable knowledge. This study investigates the use of the YOLO11m model as a data-driven approach for modeling cultural knowledge through automated detection of three Toraja carving motifs: pa_tedong, pa_kapu_baka, and pa_manu_londongan using original images collected directly from traditional …

A Study Of Perceptions, Readiness, Benefits, And Barriers Related To Exoskeleton Adoption In New Jersey’S Warehousing Sector, Terry Asante

Theses

The warehousing industry in New Jersey remains a vital component of the region's logistics network, employing more than 200,000 workers who routinely engage in lifting, bending, overhead reaching, and other physically demanding activities. These exposures contribute to musculoskeletal disorder (MSD) rates that exceed national averages, particularly affecting the low back and shoulders. Nationally, MSDs account for an estimated $420 billion in combined direct and indirect costs each year, underscoring the need for interventions that can effectively reduce biomechanical strain. Industrial exoskeletons have emerged as a potential solution, with prior research demonstrating reductions in muscle activation, perceived exertion, and fatigue during …

Simulation-Based Assessment Of Operational Strategies For Visibility-Responsive Variable Speed Limits, Jiyeon Ban

Theses

Managing speed limits in adverse weather is crucial for highway safety. Variable Speed Limit systems aim to adjust speed limits according to weather conditions, yet many traffic management centers depend on manual operator judgment. Rapid visibility fluctuations, along with operators handling multiple responsibilities, can cause delays in responding to deteriorating conditions, increasing the risk of rear-end collisions. A VSL control strategy is developed using real-time Road Weather Information System data to enable more proactive and effective adjustments. Microsimulation analysis indicates that visibility-responsive VSL operations can reduce conflicts by 59% in fog. Applying VSL only to fog-affected sections yields clear safety …

Evaluating Stormwater & Carbon Benefits Of Urban Street Trees, Anthony J. Rodriguez Diaz

Theses

Urban areas experience a multitude of environmental challenges, including flooding and air pollution. In response to these pressures, urban forests have emerged as an essential nature-based strategy to enhance resilience and reduce climate-related risks. The implementation and expansion of urban street trees further contribute to this effort by mitigating stormwater runoff and reducing atmospheric carbon emissions.

Fortunately, advances in environmental modeling have made it increasingly possible to quantify these ecosystem services using specialized software. The United States Department of Agriculture (USDA) Forest Service's i-Tree suite exemplifies this progress. The software provides a comprehensive set of tools designed to quantify environmental …

Smart Universities And Digital Transformation Based On Artificial Intelligence: A Case Of Al-Mustaqbal University, Ahmed Rasol Hasson

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Artificial Intelligence (A.I) is a key facilitator of universities procedures. Although the performance of AI has stretch out superior levels in developed countries, it is remain in its insufficiency in a lot of the developing nations. In this state, there is an imperative need to determine the important of adopting AI everywhere on Iraqi universities, due to the continuous utilize of a management old-fashioned systems. This research sight to explore applications that may influence the acceptance and adoption of AI in the Iraqi universities. This is achieved based on a qualitative approach of thematic analysis. The AI applications that were …

Techno-Economic Analysis Of Captive Solar Power Systems For Tanzania’S Manufacturing Sector: Barriers, Opportunities, And Feasibility, Edson Uhale, Sarah P. Ayeng'o

Tanzania Journal of Engineering and Technology (TJET)

This study provides a comprehensive techno-economic analysis of the barriers, opportunities, and feasibility of adopting captive solar photovoltaic (PV) systems in Tanzania’s industrial manufacturing sector. Despite Tanzania’s high solar irradiation potential, averaging 4.5 to 7.0 kWh/m²/day, the uptake of captive solar systems remains minimal, with only 2.3 percent of surveyed firms currently using solar energy, primarily for non-productive uses such as security lighting. Using a mixed-methods approach, data were collected from 43 manufacturing firms in the Dar es Salaam and Pwani regions through structured questionnaires, supported by PVSyst simulations and financial modelling to assess two system configurations: grid-connected PV systems …

A Proposed Urban Branding Strategy As Sustainable Urban Regeneration Policy, A Case Study Of Burj-Al Burullus City, Dalia S. Shebl, Kariman A. Shawky

Mansoura Engineering Journal

This study examines the importance of a branding strategy that can be applied in Burj Al-Burullus city to promote and catalyze cultural heritage branding and invest in these facilities for economic and tourism purposes. By measuring the indicators of how urban branding may be achieved. Burj Al-Burullus city is empirically examined using Identity-Based Approach. Based on profound theoretical and analytical studies, the branding concept was studied and analyzed composing a list of indicators for tangible and intangible elements that illustrate the urban branding value of cities. Followed by an analysis of Burj Al-Burullus city using GIS and city data base …

Detection And Correction Of Object Orientation On Production Lines Using Photodetector-Based Systems, Utkirjon Ubaydullayev, Elmira Raxmanova

Technical science and innovation

This article addresses the issue of errors occurring in high-speed production lines, particularly those caused by misalignment or incorrect positioning of manufactured objects. Although production lines have significantly enhanced industrial efficiency worldwide, they are not immune to mistakes, especially under rapid operation conditions. To mitigate these errors without human intervention, the proposed solution integrates photodetector sensor matrices with robotic manipulators. The system uses high-resolution photodetector arrays, such as the Hamamatsu S13774 CMOS Linear Image Sensor, to capture shadows of objects on the production line, converting these into numerical data. This data is then processed using Principal Component Analysis (PCA) and …

Study Of The Influence Of Material Heterogeneities In Humidity Measurements In A Closed Volume, Hulkar Asadullayevna Usmanova, Asadulla Turgunbaev, Umid Uralovich Xudaykulov

Technical science and innovation

The article presents generalized theoretical studies of the errors arising in the conversion of material moisture into informative parameters of the microwave field. Such informative parameters of a material include structural inhomogeneities, non-uniform moisture distribution throughout the volume and by the forms of moisture bonding, density, temperature, and mass. The influence of material inhomogeneities during moisture measurements in an enclosed volume on the errors of primary measuring transducers is investigated, along with the errors accompanying the conversion of moisture into the dielectric characteristics of the material and the conversion of dielectric characteristics into informative parameters of the microwave field. A …

Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi

Graduate Doctoral Dissertations

Early detection of cognitive decline and efficient medical image analysis remain critical challenges in healthcare. Traditional clinical assessments are infrequent and resource-intensive, while everyday speech data and unlabeled medical images remain largely unexploited. This dissertation develops computational methods integrating machine learning and artificial intelligence across speech, text, and imaging modalities to address challenges in medical data processing. For cognitive monitoring, this work first introduces methods using voice assistant systems to collect longitudinal speech data in home environments, demonstrating that incorporating historical session patterns significantly enhances detection of mild cognitive impairment. Building on this foundation, a framework combining large language model-driven …

Multi-Criteria Decision Making Methods In The Organisations' Maturity Assessment: Prisma And Delphi Techniques Perspectives, Jailos Mrisho Mzumile, Victoria Mahabi, Ismail W. R. Taifa

Tanzania Journal of Engineering and Technology (TJET)

Researchers often find it challenging to identify the appropriate Multi-Criteria Decision Making Methods (MCDM) to employ in various research areas that involve prioritising conflicting alternatives or criteria. A systematic literature review was conducted using the PRISMA technique to determine the most frequently and commonly employed MCDM methods in assessing organisational maturity across its functional areas. A total of 120 articles were identified for review, and a bibliometric analysis was conducted to map the relationships within the identified articles using VOSviewer 1.6.20 software. Moreover, frequent content analysis was performed to determine the most frequently employed MCDM methods in assessing an organisation’s …

The Impact Of Socialization On Student Intention To Persist And Flight Training Outcomes, Bryan M. Haffey, Kathryn Gardner-Vandy

Journal of Aviation/Aerospace Education & Research

The aim of this quantitative study was to investigate the relationship between the socialization of student pilots within aviation-training organizations, student intention to persist, and training outcomes as demonstrated by the number of flight hours needed to reach both solo flight and the attainment of the private pilot certificate. It also sought to compare the extent to which socialization is promoted within different types of flight training environments. It was hypothesized that Part 141 flight schools would be more likely to promote socialization than any type of Part 61 training environment. Eligible respondents were invited to take an online survey …

Mathematical Modeling Of The Atmospheric Water Harvesting Process Using Cfd, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Shaxnoza, Doston Ishmuxammat Ugli Samandarov, Azamat Bakir Ugli Usenov, Shahzod Faxriddin Ugli Dostqobilov

Technical science and innovation

This article presents the physical principles of Atmospheric Water Harvesting (AWH) technologies, including spectral radiation balance, air-sorbent interactions, thermodynamic constraints, and computational fluid dynamics (CFD) modeling approaches. The study provides models of water condensation, adsorption-desorption processes, and energy consumption. In addition, a detailed thermodynamic analysis was carried out to determine the partial vapor pressure, cooling demand, and theoretical energy limits of water extraction. The adsorption process is described using Langmuir isotherms, while desorption is represented through a kinetic model dependent on activation energy. To analyze the coupled processes of airflow, mass transfer, and heat transport, CFD models based on the …

Memo Metodológico: Elaboración De La Investigación Titulada “Ser Deseo. El Deseo Femenino Como Abyecto En El Filme Thelma.” [Reporte De Investigación], Ximena Diaz Santillán, Romano Ponce Díaz

Journal of Roleplaying Studies and STEAM

Realizar una tesis de grado siempre constituye un reto, pero también una oportunidad para desarrollar las habilidades y métodos de investigación que serán la base de futuros trabajos. Pese a que, en apariencia, la elección de un filme como objeto de estudio en la licenciatura en Lengua y Literaturas Hispánicas puede resultar extraña, las herramientas adquiridas a lo largo de la formación permiten explorar diversos productos culturales como textos; es decir, se trata de entramados sígnicos que se interrelacionan para generar un sentido dirigido a un público. Si bien existen teorías como la estética de la recepción en la que …

Role-Playing Game Studies: A Transmedia Approach Por José Pablo Zagal, Y Sebastian Deterding, (Editores). (2018). [Reseña], Cristo Leon, Edgar Meritano

Journal of Roleplaying Studies and STEAM

"Role-Playing Game Studies: A Transmedia Approach," editado por José P. Zagal y Sebastian Deterding (2018b), es una recopilación exhaustiva del estado actual de la investigación sobre los juegos de rol a través de diversas disciplinas, culturas y medios. El libro traza la historia de los juegos de rol desde sus precursores en los juegos de guerra (wargames) hasta los juegos de mesa (Tabletop), el juego de rol en vivo (live-action role-play), y los juegos de rol contemporáneos de computadora y en línea. Cada capítulo ofrece perspectivas y hallazgos de disciplinas clave como …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 4 [2025], Número 2 (Issue 2), Cristo Leon, Romano Ponce-Díaz Phd, Ivan Avila Gonzalez Phd, James Lipuma Dr., Bruce G. Bukiet, Ricardo Victoria-Uribe, Nazario Robles-Bastida, Chris Birmingham, Ximena Diaz Santillan, Edgar Francisco Vázquez Martínez He, Jorge Prieto Terrones, Juan Carlos C. González Vidal S, Edgar Meritano, Laura Magela Garcés Ramírez

Journal of Roleplaying Studies and STEAM

En una sesión de juego por medio del registro lingüístico se organiza la escena, se orienta la manera de nombrar las tareas, se distribuyen los roles actanciales, se establecen la expectativas; por lo tanto, se establece una puesta en escena. De tal forma, las prácticas lúdicas y ficcionales se configuran a partir de nuestra mirada del mundo e irremediablemente también reconfiguran esa misma mirada. El ser y el estar en un espacio es la especificidad mediática fundamental de los juegos de rol; dicho de otra manera, en los sistemas de juego de rol dentro de sus universos narrativos, en su …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Electrochemical Characterization And Modulation Of Biological Processes, Yue-Qi Li, Wei-Hua Huang, De-Chen Jiang, Bao-Hong Liu, Bin Su, Yang Tian, Jing-Juan Xu, Ping Yu, Feng Zhao, Huang-Xian Ju, Jing-Hong Li

Journal of Electrochemistry

Electrochemical processes lie at the core of biological function, governing energy transduction, metabolic flux, and molecular signaling. Recent advances in electrochemical science now allow these processes to be probed and controlled with unprecedented spatial, temporal, and chemical resolution. In this review, we present an integrated framework that progresses from fundamental mechanisms to analytical technologies and functional modulation. We begin by outlining electron transfer pathways in mitochondrial respiration, microbial extracellular electron transfer, and DNA- and protein-based charge conduction, followed by the principles of photon-electron conversion in photosynthesis and the central role of redox equilibrium in coordinating cellular responses. We then highlight …

Analog Systems Of Physical Quantities And Their Graph Models In Determining The Parameters Of Mechatronic Modules, Temurbek Omonboevich Rakhimov, Elmira Eshmurod Qizi Raxmanova, Guzal Khujaniyazova

Chemical Technology, Control and Management

This article is dedicated to the analogy systems of physical quantities and their graph models in determining the parameters of mechatronic modules. It presents the general sets and fundamental laws of analogy systems of physical quantities and their elements for determining the parameters of mechatronic modules. Based on the general sets and fundamental laws of analogy systems of physical quantities and their elements, principles have been developed for mechatronic modules with a heterogeneous structure consisting of electrical, magnetic, and mechanical parts. In these modules, the field as a form of matter exists, forming the basis for developing mathematical models to …

Improving Self-Diagnostic Methods Of Flow Measurement Systems Based On Artificial Intelligence, Elbek Ortikov

Chemical Technology, Control and Management

The article examines methods for improving self-diagnostics of consumption measurement systems based on artificial intelligence in the context of industry digitalization and the development of cyber-physical systems. It has been shown that traditional flow meters used to measure the flow rate of liquids and gases are subject to mechanical, hydraulic, electronic, and hidden failures, which reduce the accuracy and reliability of measurements. A justification for the need to transition from classical maintenance methods to intelligent self-control methods that ensure the detection of anomalies and hidden malfunctions in real time is presented. A multi-level architecture of intelligent self-diagnosis is proposed, including …

Comprehensive Mechatronic Design Methodology For 6-Dof Stationary Lower Limb Rehabilitation Exoskeleton Robot With Safety-Integrated Control Architecture, Javlonbek Rakhmatillaev Mr., Nodirbek Kimsanboyev Mr., Umidjon Takabaev Mr., Zafar Juraev Dr.

Chemical Technology, Control and Management

This paper presents the mechatronic design of a proposed six-degree-of-freedom (6-DOF) stationary lower limb rehabilitation exoskeleton (SLLRE) robot, developed through a comprehensive mechatronic design methodology that includes mechanical design, actuator and sensor selection, and the development of a control structure based on a safety-oriented control approach. The proposed 6-DOF SLLRE mechanical design introduces a comprehensive mechanical structure comprising bilateral hip, knee, and ankle joints, degrees of freedom, joint ranges of motion, human parameters for rehabilitation training, as well as the frames and structural elements of the proposed system. Furthermore, the selection of appropriate sensors, actuators, and control architecture for the …

Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data, Yusuf Shodiyevich Avazov

Chemical Technology, Control and Management

This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and current, as well as FFT-based features, were statistically analyzed. Class imbalance and low signal informativeness were identified as key factors limiting model accuracy. Results obtained from Logistic Regression, Random Forest, and XGBoost models were comparatively evaluated, showing that when ROC-AUC values remain around 0.5, distinguishing fault and non-fault states becomes challenging. Correlation and feature-importance analyses confirmed the absence of strong dominant indicators. The findings highlight the need to improve sensor architecture …

Models And Algorithms Of Control Mechanisms In Information Exchange Processes, Madina M. Fozilova, Dilshoda N. Uchqunova

Chemical Technology, Control and Management

In modern digital systems, efficient and reliable information exchange is essential for the stability of corporate systems. Traditional data management models struggle to detect and eliminate invalid, incomplete data at early stages, resulting in reduced accuracy and system inefficiency. This article proposes an advanced framework for controlling information exchange processes through the development of a Verification and Filtering algorithm. The algorithm operates within a multi-layered conceptual model that includes data input, control, validation, optimization, and decision layers. Acting as the core component, the Verification and Filtering algorithm distinguishes valid from invalid records in real time, ensuring data integrity before storage. …

Virtual Process Modeling Of Metal Additive Manufacturing Basedon Direct Energy Deposition In-Situ Failure, Jachin J. Ramirez

2025 Fall Honors Capstones Projects - Archive

This study builds a mesoscale finite element simulation to examine how internal stresses form during additive metal manufacturing using directed energy deposition. The goal is to track how heat and stress develop layer by layer and determine where a failure criterion could appear during the print. The model uses temperature-dependent material properties for Inconel 718 and a moving heat source defined with custom G-code.

Thermal results are mapped into a mechanical simulation to watch stress accumulate as new layers are added. Different scan paths were tested to determine whether varying heat exposure could reduce the extent of a region exceeding …