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29 articles for “memory usage”
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Decomposition of Dynamic Graphs in Memory Saving with Effective Programming
Abstract: This study proposes a simple and effective heuristic to save memory in effective programming on tree decompositions when solving a graph optimization problem. The introduced “anchor technique” is based on a tree-like set covering problem. We substantiated our findings by experimental results. Our strategy has negligible computational overhead concerning running time but achieves memory savings for nice tree decompositions and path decompositions between 60% and 98%.
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 7–12 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Competitive Programming and Its Importance in the Present World
Abstract: Competitive programming has become a vital skill set for both computer science students and professionals, fostering problem-solving abilities, algorithmic thinking, and time management in a highly competitive environment. This paper provides a comprehensive overview of competitive programming, beginning with its core principles and progressing through advanced strategies used by participants to solve complex problems efficiently. In addition to explaining fundamental concepts, the paper explores key algorithms and data structures frequently …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 39–50 Read article
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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A Comprehensive Review on the Structural and Implementation Redesigns of the Data Structural Support to the Memory Management Techniques in Operating System
Abstract: The power of system memory usage lies in the prospect of designing data structures which supports the management of huge data formations. The effective software support to these structures paved the way to miraculous advancements in the area of system memory management. Even though many data structures were designed for memory management, the Page Tables and the Translation look aside Buffers (TLB) are the major backbone structures in the area …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 3, 2015 · pp. 14–22 Read article
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
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Rest Web Services
Abstract: Web Services are a collection of open protocols and standards that allow clients and servers to communicate with one another. It enables interoperability between disparate applications. Representational State Transfer (REST) and Simple Object Access Protocol (SOAP) are the two most widely used web services today (SOAP). REST is a style of architecture, whereas SOAP is an underlying protocol. Both services are used to manage communication on the internet (www). Both …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 41–59 Read article
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Comparative Analysis of Modern Programming Paradigms: Evaluating Language Efficiency and Compiler Design Technique
Abstract: This paper attempts to provide some insights into the efficiency of modern programming paradigms via a comparative study and explore the important role played by compiler design in the optimization of these languages. Programming languages have been evolving quickly over time and different paradigms: imperative, functional, or object-oriented programming come with their idiosyncrasies and optimization techniques. The study starts by defining the foundational principles of each paradigm. It then goes …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
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A Novel General Purpose GPU Computing Scheme for Automated Multi-Object Surveillance
Abstract: In this study we presented a Graphic Processing Unit (GPU) based computing scheme for the division of large computational jobs such as of computer vision for the minimal processing time to facilitate the tracking of multiple objects in real time. The system comprises of the two objectives i.e., to dynamically parallelize the jobs and to reduce the CPU (Central processing unit) to GPU communication time. This will facilitate the other …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 1–5 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 01–14 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Monitoring Health of Edge Devices in Real-Time
Abstract: Monitoring all the edge devices in an enterprise environment or an edge computing environment can be a daunting task due to the sheer volume of edge devices deployed throughout an enterprise. As the size and complexity of computer environments grows, it is becoming more difficult to evaluate and recognize factors which restrict efficiency and scalability. Application developers and system administrators need tools that is easy to use so that they …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 17–25 Read article
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Implementation and Verification of Dual Port RAM for High-speed Applications
Abstract: It is important to have an appropriate medium for transmitting data among parallel running processes in multi-processor-based applications. Multi-processor systems are used to handle complex tasks that require a lot of processing power, and they rely on parallel running processes to achieve this. However, one of the major limitations of these systems is the slow transmission of data among parallel running processes. This is due to the fact that in …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 37–41 Read article
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The Study on Energy-Efficient Context-Aware Architecture for Wired or Wireless Communication System
Abstract: The ever-increasing technical developments in the engineering of embedded systems, along with The proliferation of small sensor design and implementation has allowed mobile devices (e.g. Smartphones) understand everyday human acts, events and experiences. Consequently, inferring a wide spectrum of mobile application user-based behaviours from a very diverse background gathered from a collection of sensory measurements has attracted a great deal of attention in the field of ubiquitous sensing science. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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A Statistical View Point of Road Accidents due to Mobile Phone Usage while Driving
Abstract: AbstractThe proliferation of mobile technology and its widespread use has created an environment of achieving more while driving. Reports related to road accidents estimate that nearly 1.4 million crashes occur as a consequence of drivers being engaged in phone conversation and almost 2 lakh crashes involve distraction due to texts and emails. Driving requires abilities such as attention, memory, judgment, perceptuomotor skills and decision making. The current mobile interface available …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 2, 2016 · pp. 16–20 Read article