Digital Commons Network^™

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, …

Knowledge Closed-Loop Driving-Based Intelligent Game Confrontation Simulation, Quan Liu, Yu Wang, Linyue Liu, Hao Chen, Jian Huang

Journal of System Simulation

Abstract: For human-machine intelligence integration and collaborative intelligence enhancement, a “knowledge-model-data-knowledge” closed-loop paradigm for combat simulation is proposed to guide the design of a DRL-based game confrontation simulation architecture. By building a combat priori knowledge-guided DRL agent model, mining and analyzing the time series data of agent interactions generated during simulations, and extracting combat posterior knowledge that expands the cognition boundaries of commanders, the knowledge closed-loop driving mechanism for intelligent combat simulations is achieved. The experimental results indicate that the proposed mechanism can effectively endow the combat simulation system with intelligence growth capabilities, providing valuable reference for the deepening …

Resource-Efficient Continuous Learning Framework For Edge Real-Time Video Analytics, Shuxia Wu, Junjie Zhang, Delong Chen, Zheyi Chen

Journal of System Simulation

Abstract: By deploying lightweight models at the network edge, edge systems can provide services of real-time video analytics. However, due to the data drift caused by the discrepancy between model training and actual deployment, it is challenging to construct lightweight models that match real-world environments. To address this challenge, a resource-efficient continuous learning framework for edge real-time video analytics (CL4VA) was proposed. A region of interest-granularity predictor for accuracy degradation was introduced to efficiently select key samples from real-time video streams. A two-layer mixed sample pool was constructed to adaptively trigger the model's continuous learning and avoid the issue of …

Reinforcement Learning Based Method For Uav Team Orienteering Optimization Under Multi-Constraint Condition, Can Yang, Kai Chen, Feng Zhu

Journal of System Simulation

Abstract: Traditional optimization methods struggle with efficiency, while reinforcement learning approaches often yield low solution quality and high training costs. In response, this paper proposes an attention mechanism-based reinforcement learning method. A dynamic attention strategy network with multi-information fusion is designed to improve solution quality. A visibility-graph approach is employed to simplify threat zone constraints and speed up convergence, and a decoding sequence reordering mechanism is introduced for further performance optimization of the solution. The simulation results show that the method generates high-quality solutions within milliseconds, achieving total rewards that approach or even surpass those obtained by traditional solvers …

Strike Strategy Planning Method Of Unmanned Ground Vehicles Based On Improved Ppo Algorithm, Bingkun Wang, Yue Wang, Mei Yang, Pengnian Zhang, Bohao Fan, Jie Tang

Journal of System Simulation

Abstract: An improved PPO algorithm based on the hybrid action space and gated recurrent unit (GRU) is proposed to address the limitations of predefined strike rules in maximizing the hitting accuracy of unmanned ground vehicles and the difficult coupling and optimization of continuous motion planning and discrete strike decision-making. The environmental model and target model are built for the process of unmanned ground vehicles' strike missions, coupled with a three-layer model for unmanned ground vehicles that fuses kinematic constraints, situational awareness, and dynamic decision-making. Two distinct policy networks are employed, including the continuous motion planning network for path planning, and …

Intelligent Decision-Making Method In Imbalanced Air Combat Based On Asymmetric Self-Play, Wei Zheng, Jiahao Tang, Xiaoping Xiong, Xin Fan

Journal of System Simulation

Abstract: To solve the problem of strategy convergence caused by role homogenization in traditional self-play for imbalanced air combat, an intelligent decision-making method based on asymmetric selfplay was proposed. This method decoupled tactics from control by employing a hierarchical reinforcement learning framework and designed differentiated reward functions for advantaged and disadvantaged sides. Bidirectional independent policy pools were constructed to promote the co-evolution of strategies. The proximal policy optimization algorithm was utilized to train the model. Experiments in 1v1 weapon-imbalanced and 2v1 numerically-imbalanced scenarios demonstrate that compared to symmetric self-play, the proposed method increases the kill rate of the advantaged …

Agent-Based Pathfinding Method For Indoor Fire Emergency Evacuation, Ao Tian, Jianqin Zhang, Zheng Wen, Chaonan Hu, Hong Zhao, Bo Shen

Journal of System Simulation

Abstract: To improve emergency evacuation efficiency and reduce casualties in dynamic fire scenarios, a real-time path re-planning method based on agents and dynamic A* algorithm framework is proposed. The behavior and actions of the agent is modeled. A reward function is designed, and an agent-based evacuation framework is constructed. Based on fire simulation data, a dynamic cost network involving parameters such as thermal radiation, smoke visibility, and CO concentration is constructed to achieve spatiotemporally continuous modeling of fire environments. By optimizing the composite cost function through dynamic weight allocation, combined with an improved heuristic function and dynamic search mechanism, local …

Protecting ‘Punks’: The Shortcomings Of The Prison Rape Elimination Act, Rachel Goldsmith

Binghamton University Undergraduate Journal

Prisoner-on-prisoner sexual abuse is widespread in US male prisons, with inmates “turning each other out” by sexually assaulting each other. While the Prison Rape Elimination Act (PREA) received unanimous support in Congress in 2003, motivated by the Human Rights Watch Report “No Escape: Male Rape in Prisons,” scholars argue that the PREA fails to protect prisoners from prison rape: for example, its standards may be ineffective or criminalize consensual sex between prisoners. This essay will examine the shortcomings of the PREA, drawing on current legal scholarship, and propose solutions to enhance the law's effectiveness in protecting prisoners. The US government …

Understanding Software Engineering Practices And Tools In Undergraduate Mechanical Engineering Students, Prisha Bhatia, Ramzey Burdette, Titilayo Oshinowo, Michelle Jarvie-Eggart, Stephanos Matsumoto

Michigan Tech Publications

Though software development has increasingly become a part of modern engineering practice, even outside of computing, we lack a sufficiently deep understanding of how engineers in many disciplines learn and use software engineering practices and tools (SEPTs). SEPTs include, but extend beyond, programming itself, consisting of practices (e.g., unit testing) and tools (e.g., version control software) that support the design, implementation, or maintenance of software. While many disciplines outside of computing teach programming in their undergraduate curricula, little is known about how these disciplines use, teach, or adopt SEPTs. We thus conducted an exploratory qualitative study on SEPTs among undergraduate …

Scalable And Fault-Tolerant Network Architectures For Real-Time Video Transmission In Industrial Networked Control Systems, Moustafa Awad

Theses and Dissertations

This thesis addresses the challenge of transporting supervisory video alongside time-critical control traffic in industrial Networked Control Systems (NCS) without violating stringent real-time constraints. A simple yet scalable network architecture is developed and evaluated for a plant-level deployment comprising three interconnected workcells with sensors, controllers, actuators, and cameras. The design explicitly accommodates bandwidth-intensive video streams while preserving the responsiveness of watchdog/control traffic. Analytical delay modeling decomposes end-to-end latency into transmission, propagation, processing, and queuing components, and Riverbed-based simulations are used to validate the model under realistic mixed-traffic conditions. A traffic-engineering strategy - phase-shifting supervisory camera transmissions - effectively desynchronizes frame …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Expression Of Concern: The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H.A.A. Namoos and A.M. Jasim, ``The Innovative Technique for Obtaining the Solutions of Jeffery Hamel Nano-fluids Flow Problem,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 31. DOI:https://doi.org/10.52866/2788-7421.1303.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/31.

Reason for Expression of Concern:The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “The Innovative Technique for Obtaining the Solutions of Je ery Hamel Nano-fluids Flow Problem (Manuscript 1303)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to …

Expression Of Concern: Software Engineering Approach To Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning In Arab Social Media, Yasmin Makki Mohialden, Nadia Mahmood Hussien, Mostafa Abdulghafoor Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. M. Mohialden, N. M. Hussien, and M. A. Mohammed, ``Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 43. DOI: https://doi.org/10.52866/2788-7421.1317.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/43.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Software Engineering Approach to Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning in Arab Social Media (Manuscript 1317)”. The journal has initiated an additional …

Expression Of Concern: Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. A. Radhi, M. Y. Kamil, and M. A. Mohammed, ``Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 9. DOI: https://doi.org/10.52866/2788-7421.1252.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/9.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Quantum Machine and Deep Learning for Medical Image Classification: A Systematic Review of Trends, Methodologies, and Future Directions (Manuscript 1252)”. The journal has initiated …

Expression Of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2vec, Enas Tariq Khudair, Onsa Lazzez, Mourad Zaied, Tarek M. Hamdani, Ahmed T. Sadiq, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: E. T. Khudair, O. Lazzez, M. Zaied, T. M. Hamdani, A. T. Sadiq, H. Chabchoub, and A. M. Alimi, “Ontology Features-Based Arabic Text Augmentation Using Word2Vec,” Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 40. DOI: https://doi.org/10.52866/2788-7421. 1302 Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/40

Editor's Note: The Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1386) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1302) has been resolved. The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Expression Of Concern: Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. Cheng, Y. Song, and M. Wang, ``Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1275
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/1

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Leveraging Machine Learning for Accurate Prediction of NBA Player Salaries (Manuscript 1275)”. The journal has initiated an additional editorial assessment of the article’s methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility. This notice …

Expression Of Concern: Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: H. A. Hussain, M. A. Subhi, A. S. Al Tmeme, A. D. Radhi, and M. A. Albahar, ``Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 4, Article 12, 2025. DOI: https://doi.org/10.52866/2788-7421.1330.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss4/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Improving Road Safety Through Multimodal Deep Learning for Driver Drowsiness Detection (Manuscript 1330)”. The journal has initiated an additional editorial assessment of the article’s …

Expression Of Concern: Improving Heart Attack Prediction Accuracy Performance Using Machine Learning And Deep Learning Algorithms, Iraqi Journal For Computer Science And Mathematics

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: M. H. Al-Adhaileh, M. I. Ahmed Al-mashhadani, E. M. Alzahrani, and T. H. H. Aldhyani, ``Improving Heart Attack Prediction Accuracy Performance Using Machine Learning and Deep Learning Algorithms,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article~3. DOI:~https://doi.org/10.52866/2788-7421.1239.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/3.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Improving Heart Attack Prediction Accuracy Performance Using Machine Learning and Deep Learning Algorithms (Manuscript 1239)”. The journal has initiated an additional editorial assessment of the …

Expression Of Concern: Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: Y. A. A. S. Aldeen, A. T. Sadiq, A. E. Abed, O. F. Hussain, and S. H. H. Madni, ``Improved Harmony Search Algorithm for SDN Controller Placement,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 12. DOI: https://doi.org/10.52866/2788-7421.1249.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/12.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional …

Expression Of Concern: Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: N. Kadkhoda, M. Baymani, M. M. Mijwil, and M. Abotaleb, ``Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 3, 2025, Article 11. DOI: https://doi.org/10.52866/2788-7421.1267.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss3/11.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in “Exact Solutions of M-fractional Complex Ginzburg-Landau Equation via Two Analytical Methods (Manuscript 1267)”. Exact Solutions of M-fractional: : : The journal has initiated an additional editorial assessment of the article’s methodology, …

Expression Of Concern: Artificial Intelligence In Education: Mathematics Teachers' Perspectives, Practices And Challenges, Mohammad A. Tashtoush, Yousef Wardat, Rommel Al Ali, Shoeb Saleh

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: M. A. Tashtoush, Y. Wardat, R. A. Ali, and S. Saleh, ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives, Practices and Challenges,'' Iraqi Journal for Computer Science and Mathematics, vol. 5, no. 1, 2024, Article 20. DOI: https://doi.org/10.52866/ijcsm.2024.05.01.004.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol5/iss1/20.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``Artificial Intelligence in Education: Mathematics Teachers' Perspectives''. The journal has initiated an additional editorial assessment of the article's methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility.
This …

Expression Of Concern: A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

EXPRESSION OF CONCERN FOR: F. H. Najjar, K. A. Kadhim, F. Mohamed, M. S. Mohd Rahim, and A. N. Haidar Abdullah, ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation,'' Iraqi Journal for Computer Science and Mathematics, vol. 6, no. 2, 2025, Article 1. DOI: https://doi.org/10.52866/2788-7421.1230.
Available at: https://ijcsm.researchcommons.org/ijcsm/vol6/iss2/1.

Reason for Expression of Concern: The Editors wish to alert readers to potential concerns regarding the reliability of the findings reported in ``A Lightweight U-Net Model for Accurate Skin Lesion Segmentation (Manuscript 1230)''. the journal has initiated an additional editorial assessment of the article's methodology, data provenance, and …

Models Of Change: Communicating To Your Funder And Stakeholders How You Believe Your Project Will Succeed, Jean Mclaughlin, Thuy Vu, Noe Vargas Hernandez, Arturo A. Fuentes

Civil Engineering Faculty Publications

No abstract provided.

Dynamic Multi-Layered Hardware Obfuscation With Behavioral Drift Locking For Sat-Resistant Designs, Ahmed Yehia Salah Mohamed Emish

Theses and Dissertations

The globalization of the semiconductor supply chain has introduced critical vulnerabilities, including intellectual property (IP) piracy, reverse engineering, and hardware tampering. While traditional logic locking offers a baseline of defense, the emergence of powerful Boolean satisfiability (SAT) solvers has rendered many static obfuscation techniques ineffective. This work proposes a Dynamic Multi- Layered Hardware Obfuscation Framework that utilizes Behavioral Drift Locking (BDL) to provide a robust defense-in-depth against advanced adversarial models. The methodology integrates four synergistic layers: • Dynamic Key Management using a time-dependent rotation mechanism that updates keys every clock cycle to prevent static analysis. • Control Obfuscation through opcode …

Emulating Camera Parameters For A Digital Twin Lunar Terrain Simulation, Samuil Nikolov

Student Research Symposium (SRS)

Digital twin simulations play an integral role in the design, validation and implementation of a plethora of systems in any industry - including aerospace. EagleCam 2 presents a great technical challenge, where we need to evaluate how our systems will do data acquisition best - image capturing in particular. In order to assist with the design and validation of our systems, a digital twin that emulates the Lunar environment as we expect it to be during the lifecycle of the mission is a crucial component. Such digital twin system allows us to simulate all the parameters that are considered variable …

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Student Research Symposium (SRS)

Emerging coastalization and urbanization threats to the prehistoric Concón Dunes and Humedal de Mantagua coastal area of Chile is being investigated by researchers via uncrewed aircraft systems (UAS). Four UAS were utilized: Anzu Raptor T, DJI Mavic 3E, DJI Mavic 3M, and DJI Air 3 to collect various images of the coastal dunes. Multispectral and RGB cameras gather images by photogrammetry to create orthomosaics and monitor vegetation indexes in Pix4Dmapper. Thermal cameras provided images in rainbow, white hot infrared, and black hot infrared schemes to monitor wildlife and vegetation. The normalized difference vegetation index (NDVI) was calculated to visualize overall …

Intravascular Ultrasound Is More Accurate Than Angiography In Arteriovenous Vascular Access Lesions, James W. Decker, Dima Banihani, Curtis Honshideler, Saran Lotfollahzadeh, David Jasen Wu Wong, Alik Farber, Jeffrey J. Siracuse, Najia Idrees, Laura Dember, Mohammad Bader, Suvranu Ganguli, Vijaya Kolachalama, Tarek Shazly

Faculty Publications

Background:

Conventional angiography remains the standard diagnostic modality for arteriovenous (AV) access dysfunction in hemodialysis patients, but its geometric accuracy is limited. Intravascular ultrasound (IVUS) offers superior lesion detection, yet its absolute measurement accuracy remains uncertain. Using three-dimensional (3D) printed vascular conduits as reference standards, we assessed the accuracy of IVUS versus angiography, hypothesizing that complex conduit geometry, quantified by Gaussian curvature, would exacerbate angiographic error.

Methods

Clinically relevant AV access geometries were modeled with computer-aided design (CAD) and fabricated using 3D printing. Lumen diameters were measured by contrast angiography and IVUS and compared with CAD dimensions. Conduit geometry was …

Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

Dynamic Soliton Solutions And Stability Analysis Of The (2+1)-Dimensional Wazwaz Kaur Boussinesq Equation Using An Efficient Method, Nivan Mohamed Elsonbaty, Hamdy Mohamed Ahmed, Niveen Mohamed Badra, Wafaa B. Rabie

Basic Science Engineering

This paper presents the first application of the Modified Extended Direct Algebraic (MEDA) method to the (2+1)-dimensional Wazwaz-Kaur-Boussinesq equation, a model governing wave dynamics in shallow waters. The approach successfully uncovers previously unreported classes of exact solutions, including combo dark–singular solitons and Jacobi elliptic function solutions. The spectrum of obtained solutions–which also encompasses bright, dark, and singular solitons, as well as hyperbolic, periodic, exponential, and rational functions–reveals rich and complex soliton dynamics. A comprehensive stability analysis confirms the robustness of these solutions under perturbation. These results significantly advance the understanding of wave propagation in nonlinear systems, providing valuable insights for …

An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi

Michigan Tech Publications

As the global population ages, there is a growing need for assistive technologies to help older adults maintain their independence. This work presents a cost-effective autonomous socially assistive robot designed for object retrieval and delivery, enhancing accessibility in home environments. The system is built on the Robot Operating System (ROS) framework and integrates three key components: the Pioneer P3-DX mobile robot for autonomous navigation, the ReactorX-200 robotic arm for pick-and-place operations, and the Kinect v2 RGB-D camera for object detection and localization. Users interact with the robot through natural language processing by issuing voice commands to retrieve various objects. Microsoft …