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727 articles for “Computer Algorithms”
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Hadoop and Map Reduce for Simplified Processing of Big Data
Abstract: Big data refers to large and complex data sets made up of a variety of structured and unstructured data, which are too big, too fast, or too hard to be managed by traditional techniques. Hadoop is an open source software platform for structuring big data on computer clusters built from commodity hardware and enabling it for data analysis. It is designed to scale up from a single server to thousands …
Published in Current Trends in Information Technology · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Application of Accelerated PSO and ANN for Optimal Scheduling of Hydrothermal System
Abstract: A short range problem of hydrothermal scheduling of hydrothermal system with cascaded is analyzed in this paper. The net head, water discharge rate and water transport delay between connected reservoirs is considered in the problem. The developed algorithm is demonstrated on a test system consisting one thermal plant and four cascaded hydro plants. The results obtained by the APSO technique are compared to PSO and conventional technique. It is found …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 42–52 Read article
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Survey of Intelligent Surveillance System using Image Processing and Deep Learning Techniques
Abstract: Abstract Closed-circuit television systems (CCTV) are becoming more and more pop- ular and are being deployed in many offices, housing estates and most public spaces. Thus, the job of CCTV operators is becoming very challenging as the footage contains a lot of information and gradually becomes cumbersome. Rapid advancement in the field of computer vision could be observed as an important trend in video surveillance and lead to substantial effi- …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 3, 2020 · pp. 34–64 Read article
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Privacy Preserving of Vertically Partitioned Data Using Elliptical Curve Cryptography
Abstract: Data mining's privacy problems have become a big problem as a result of financial considerations. This work investigates the topic regarding the issue of privacy-preserving global association rule analysis over several parties in vertically partitioned data to efficiently prevent hidden trends and perform computations across the parties while respecting the privacy of their data. After that, it suggests using Shamir's method of secret sharing to support distributed mining of association …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 31–38 Read article
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Facial Recognition System Utilizing Real-time Deep Learning Techniques
Abstract: This research introduces an openly accessible deep learning-based framework designed for facial recognition. The system encompasses five key stages: face segmentation, detection of facial features, face alignment, embedding, and classification. Deep learning methods are employed for the extraction of fiducial points and embedding within the system. For the classification task, a Support Vector Machine (SVM) is utilized due to its efficiency in both training and inference phases. Notably, the system …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 14–20 Read article
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Analysis of Various Machine Learning Techniques for Smart City
Abstract: A botnet represents a network of multiple bots developed to launch spiteful incidents on a target network that is managed through a command-and-control protocol by a solo object known as botmaster. Bots are compromised computers that are controlled from far by the botmaster with no indications of being hacked and used to carry out spiteful actions. The size of botnets differs from small botnets containing a few hundred bots to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 1–16 Read article
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Network Intrusion Detection Mistreatment Soft Computing Technique
Abstract: With the approaching era of web, the network security has become the key foundation for tons of economic and business applications. Intrusion detection is one amongst the looms to resolve the matter of network security. An Intrusion Detection System (IDS) could be a program that analyses what happens or is going on throughout associate in nursing execution and tries to find indications that the pc has been abused. Here we …
Published in Journal of Open Source Developments · Vol. 2, Issue 1, 2015 · pp. 28–32 Read article
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Thermal Performance of Concentrating Solar Panels
Abstract: The study shows a detailed analysis of the thermal performance of concentrating solar panels and the temperature increase due to concentrated solar radiation. This work proposes a configuration to reduce temperature rise, maintain good panel efficiency, and increase output power. The configuration is based on a sandwich structure including a phase change material (PCM), which absorbs the thermal energy excess generated by the concentrated solar radiation onto the PV panel. …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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A Decrease in the Encryption Latency Utilizing Transport Layer Protocols for Software Defined Networks
Abstract: Data centers and business networks are rapidly using SDN (Software Defined Networking), an emerging technology. It isolates the control plane from the underlying data or forwarding plane to allow more efficient and customized network control with a global view of the underlying network. A variety of encryption algorithms created for network-level data encryption and decryption must be used in a PC network for every application communication to be encrypted at …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 24–38 Read article
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Developing a Statbot for Predictive Analytics
Abstract: Automatic Statbot for predictive analytics is the future of the data analytics world where we would have trillions of unprocessed data which needs to be structured, preprocessed, and to be converted into a form which could be used up by the sophisticated users like data scientists, data analysts, business analysts, etc. The Statbot interacts with its user/client in a friendly manner and asks for the dataset to be used for …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 22–33 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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An Image Processing Algorithm for Varietal Classification of Sapota Fruits
Abstract: In several cases, fruits of different varieties are often mixed into the same bulk and reach the market/processing unit. In such scenarios, variations in product properties due to varietal variations result in inconsistent product end-product quality. This is of important concern in case of sapota; particularly between Cricket ball and P[ala varieties, the most dominant varieties grown in India. Hence, in the present study, a machine vision system consisting of …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 6–9 Read article
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Secure Snap: Fortifying Image Preservation with a Robust Backup System
Abstract: The importance of implementing a robust backup system lies in preserving critical files against unforeseen events such as system crashes, hardware failures, or natural disasters. Data security plays a pivotal role in safeguarding confidential and vital information. Therefore, it is imperative for backup systems to prioritize security measures. Encryption emerges as a widely adopted method in today's industry to ensure data confidentiality. This project presents a novel computer software that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Empirical Analysis of Cache-Efficient In-place Matrix Transposition on Multicore Processors
Abstract: Performance and scalability of cache-efficient in-place matrix transposition algorithms has been experimentally evaluated in this paper. Cache-efficient in-place matrix transposition algorithms namely cache-aware and cache-oblivious are analyzed on multicore machines for performance and scalability. We propose low-level optimization for cache-efficient in-place matrix transposition and find the best configuration for them. The optimization of algorithms has been made by using efficient iterative kernel. The best tile size for cache-aware and best …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 1–15 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Optimization of Resource Allocation in OFDM Communication System for Different Modulation Technique using FRBS and PSO
Abstract: Orthogonal frequency division multiplexing (OFDM) is technique that is chosen for high data rate communication and is important for 4th generation communication system. Resources such as power, bandwidth are limited, thus intelligent allocation of these resources to users are crucial for delivering the best possible quality of services. Fuzzy rule-based system (FRBS) and particle swarm optimization (PSO) algorithm are used for optimization of code rate, modulation and power. FRBS is …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 29–35 Read article
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Face Mask Detection in Real Time using OpenCV and Python
Abstract: COVID-19 has brought the entire world to a halt. Doctors, healthcare workers, and many other services were fighting this pandemic on the front lines. Wearing a face mask in public places is more effective, according to the World Health Organization (WHO). According to the reports, wearing the masks while working clearly shows that it reduces the risk of transmission. We will be using the dataset to build a face mask …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article