Digital Commons Network^™

Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev

Chemical Technology, Control and Management

This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …

The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

This article is devoted to the applied analysis of diagnostic and restructuring methods aimed at ensuring the reliability of control systems in the event of failures. The paper considers practical implementations of diagnostic and control algorithms using a servo drive setup as an example. The results of experiments are presented, demonstrating the system's behavior under various fault conditions. A comparative analysis of the effectiveness of the proposed solutions is carried out in terms of stability and operational accuracy. The obtained data confirm the feasibility of using adaptive control structures to increase the fault tolerance of technical systems. The article concludes …

Spatio-Temporal Gcn With Softmax Classifier For Skeleton-Based Human Action Recognition, Kabul Khudaybergenov, Avazjon Marakhimov, Zahriddin Muminov

Chemical Technology, Control and Management

Skeleton-based human action recognition is an important research area with many practical applications. Most existing methods rely on single representations of skeletal sequences, which cannot totally obtain all the complex features of human movements. This paper presents LFHAR (Latent Features for Human Action Recognition), a new framework that uses multiple spatio-temporal latent representations to improve the extraction of action features. Our method captures how skeletal poses change over time and combines motion information from both individual joints and connected body parts. The proposed approach applies graph-based processing to each skeleton frame in a sequence, then arranges the resulting graph features …

A Gis Method To Summarize Changes Among Classes During A Time Series With An Application To Land Cover In Western Bahia, Brazil, Robert Gilmore Pontius, Antonio Victor Galvão Da Fonseca

Geography

Petabytes of raster maps exist that show numerous classes across a series of many time points. Scientists need new methods to summarize the temporal changes so scientists can understand broad patterns and have guidance for how to look deeper into particular places, trajectories, classes, and time intervals. Our manuscript addresses this need by presenting an innovative method that summarizes the temporal changes in terms of a map of four trajectories and bar charts of five components: quantity, allocation exchange, allocation shift, alternation exchange, and alternation shift. An application illustrates the method using 16 land cover classes at 7 time points …

Omahe Rak Usah Apik-Apik: Adequate Housing Problems Of The Urban Poor Along Railway Tracks, Syahwal -

The Indonesian Journal of Socio-Legal Studies

As urban development accelerates, urbanization has simultaneously grown as an inseparable phenomenon. However, beneath this transformation lies a crisis within the capitalist system known as overaccumulation, which has led to the marginalization of urban poor groups. This phenomenon results in the creation of slums, one of which is found in the periphery of railway tracks, where the urban poor reside. Semarang the capital of Central Java Province, Indonesia, is an apt example of such developments,. This study takes as starting point that the right to adequate housing is an integral part of human rights and addresses the issue of why …

An Efficient Self-Supervised Learning Framework For Swarm Robot Trajectory Analysis, Brooklyn Berry, Gaukhar Nurbek, Juan Manuel Perez, Richard Tapia, Qi Lu, Yifeng Gao

Computer Science Faculty Publications

Swarm robotics leverages groups of autonomous robots to perform complex tasks collaboratively. Recently, there has been growing interest in the Self-Supervised Learning framework (SSL) for social robots, yet very little research has been done on designing a SSL framework for foraging swarm robots systems. In this paper, to address the two challenges above, we proposed a novel efficient self-supervised learning framework. Specifically, we proposed 1) a shared weight multi-instance based encoder-decoder structure for model pre-training; and 2) an embedding series compression strategy to reduce the space cost in inference stage. Experiments show our system can match the performance of standard …

Defects4c: Benchmarking Large Language Model Repair Capability With C/C++ Bugs, Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this issue, we introduce Defects4C, a comprehensive and executable benchmark specifically designed for C/C++ program repair. Our dataset is constructed from real-world C/C++ repositories and includes a large …

Enhancing The Acceptability Of Decision-Making System Using Xai Case: Crime Profiling System, Mohamed Saeed Al Shamsi

Theses

In the current world, we need to place more emphasis on how easily interpretable, accurate, and acceptable data analysis results are, given that essential operations in law enforcement, among other sectors, are backed up by the use of complex computing systems. Crime profiling systems that use crime data for profiling encounter major problems because they depend on algorithm-based methods. These methods can be ambiguous and inaccurate, leading to low public acceptability. The study investigates major problems with Complex Crime profiling systems (CPS) because their unexplained algorithms result in system performance issues and public scepticism. XAI provides a solution to handle …

باستخدام مجموعة بيانات متعددة من الطائرات بدون طيار Yolo البحث والإنقاذ البحري القائم على في ظروف الطقس الصعبة, Aysha Ali Alshebli

Theses

Object detection models, powered by deep learning and computer vision, are revolutionizing marine search and rescue (SAR). By analyzing aerial imagery and live drone footage, these systems automatically identify critical targets like survivors, life rafts, and debris across vast and treacherous ocean areas. This capability enhances operational efficiency by reducing human workload and accelerating response times, even in challenging conditions such as poor light, high seas, or cluttered backgrounds. The result is continuous monitoring, faster decision-making, and a significantly improved probability of successful rescue.

Departing from prior methodologies, YOLO introduced a paradigm shift through its single-shot architecture, which concurrently predicts …

Core-Scale Study Of Miscible Co2 Foam–Oil Interactions, Kuvonchbek Abdirakhmonov

Theses

Foam is currently the most effective means for gas mobility control in a variety of geo-energy applications, including enhanced oil recovery (EOR), carbon capture, utilization and storage (CCUS), and aquifer/soil remediation. This study investigates the mobility control of miscible CO₂ foam in the presence of oil.

The primary objective is to quantify the impact of oil on CO₂ foam behavior under miscible conditions, specifically examining foam stability, strength, and flow regimes as influenced by oil composition and reservoir permeability. While most oils destabilize foam, few studies explore the coarsening mechanisms of CO₂ foam in the presence of miscible oils, which …

Enhanced Privacy Preserving Healthcare Data Management With Federated Learning Using Homomorphic Encryption, Omar Abdulla Ali

Theses

Federated Learning (FL) is a decentralized approach of machine learning on multiple clients jointly training models without sharing their raw data, which drastically improves privacy and enhance protection against security breach. This is particularly critical in the healthcare sector, where hospitals and medical institutions are often unable to exchange patient records due to strict privacy regulations and data-management policies. However, there is still a risk of privacy breach when clients send their model updates to the central server, because if a model update is intercepted or analyzed by a malicious entity, it could be used to recover sensitive data using …

Enhanced Air Hockey Robot Performance Through Adaptive Control Algorithim Using Ai-Based Hierarechal Decicion Archeticture, Ayham Majed Salim

Theses

This thesis presents the development of an intelligent air hockey robot that combines precise mechanical design, computer vision, and adaptive control within an AI-based hierarchical decision architecture. The system integrates synchronized stepper motors, high-speed image processing, and a real-time decision framework to achieve competitive gameplay performance. The robot detects the puck using adaptive HSV color segmentation, supported by dynamic calibration that maintains accuracy under different lighting conditions. A two-stage trajectory prediction model, based on exponential decay velocity estimation, enables anticipation of puck motion and improves response time during fast gameplay.

At the decision level, a fuzzy-logic supervisor governs the robot’s …

Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair

Mechanical Engineering Faculty Publications and Presentations

Low-dimensional carbon nanomaterials have unique electron density distributions which warrant their classification as 1D and 2D, and they are useful for a wide variety of nanocomposite applications. This group includes 1D carbyne, which has high stiffness, and a 1D-2D hybrid composed of carbyne and a highly elastic cyclo[18] carbon ring (2D). We use density functional theory and molecular dynamics methods to study the interface properties of carbyne and the hybrid on Cu (111) surface and determine the mechanical properties of nanocomposites comprised of the nanomaterials as a fiber in Cu matrix at varying temperatures. We predict that on Cu (111) …

The Port Of Mombasa As A Potential Green Hydrogen Hub : A Techno-Economic Feasibility Study, Rose Mbula Mutevu

World Maritime University Dissertations

No abstract provided.

An Analysis Of Renewable Energy Capture Utilization For Mpulungu Harbour, Dorica Nayame

World Maritime University Dissertations

No abstract provided.

Feasibility Of Onshore Power Supply For Port Electrification : A Business Case For Ports, Atti Abbas Shah

World Maritime University Dissertations

No abstract provided.

Enhancing Seafarer Competence In Nigeria : Challenges And Opportunities, Alexander Chike Melifonwu

World Maritime University Dissertations

No abstract provided.

E-Counseling Platform For Seafarers’ Sound Mental Health : Prospects And Challenges To Implement Globally On-Board Ships, Farzana Yasmin

World Maritime University Dissertations

No abstract provided.

Enhancing Nigeria’S Compliance With International Maritime Anti-Corruption Framework, Usman Abdulrahman

World Maritime University Dissertations

No abstract provided.

Green Shipping Corridors In West Africa : Overcoming Barriers And Unlocking Opportunities For Maritime Decarbonization, Bismark Owoahene Acheampong

World Maritime University Dissertations

No abstract provided.

Protecting Seafarers' Rights : A Comparative Analysis Of The Mlc, 2006 As Amended, And The Ethiopian Seafarers Collective Agreement, Asfaw Siyum Balcha

World Maritime University Dissertations

No abstract provided.

A Just Transition For Female Seafarers : Ensuring Gender Equality In The Sustainable Maritime Industry, Danisa Ama Buakah

World Maritime University Dissertations

No abstract provided.

Navigating Equity In The Digital Era : Addressing Challenges And Advancing Rights Of Female Seafarers Through Policy Reform, And Artificial Intelligence, Margaret Dixon

World Maritime University Dissertations

No abstract provided.

Wreck Removal : Assessing Nigeria’S Compliance With The Nairobi Wreck Removal Convention 2007, Richard Oritsejomayo Iyinbo

World Maritime University Dissertations

No abstract provided.

Institutional And Regulatory Responses To Armed Robbery Against Ships : A Comparative Analysis Of Indonesia, Malaysia, And Philippines, Subhash Kumar Kakkuzhiyulla Parambath

World Maritime University Dissertations

No abstract provided.

Decarbonization And Climate Justice : Challenges And The Effect On Shipowners, Sofiana Kontouri

World Maritime University Dissertations

No abstract provided.

The Ratification And Implementation Of The International Maritime Organisation (Imo) Instruments : A Social And Policy Persepctive On Maritime Governance In Fiji, Miriama Latianara

World Maritime University Dissertations

No abstract provided.

The Multidoor Courthouse System In Commercial Maritime Disputes : Enhancing Access To Justice And Dispute Resolution Efficiency In Nigeria, Adetola Aderonke Oduwole

World Maritime University Dissertations

No abstract provided.

An Analysis Of The Legal And Policy Challenges For Developing Countries In Implementing The Imo’S 2023 Ghg Strategy : A Case Study Of South Africa And Indonesia, Mduduzi Godson Qwabe

World Maritime University Dissertations

No abstract provided.

Decarbonization Of The Fishing Fleet In The Galapagos Islands : Governance Challenges And Opportunities For Implementing Renewable Energy Sources, Byron Eduardo Robles Romero

World Maritime University Dissertations

No abstract provided.