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557 articles for “Embedded c”
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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The link between electronics and computer science
Abstract: The merging of computer science with electronics has led to major improvements in modern technology, leading to new ideas in areas like embedded systems, the Internet of Things (IoT), artificial intelligence (AI), and robotics. There is a deep and widespread connection between computer science (CS) and electronics. They have a symbiotic relationship in which one subject depends on and improves the other. CS gives systems their intellectual frameworks, algorithms, and …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 11–20 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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Study and Analysis of Domain Based Digital Image Water Marking Techniques: Survey
Abstract: AbstractDue to the modern steps forward in internet technology and evolution of very high-speed networks operating everywhere, security of digital content is must. So, it has become a hard job to protect copyright of an individual's creation. Digital image watermarking (DIW) is usually utilized for copyright protection of virtual facts. The effectiveness of a digital watermarking (DW) approach is indicated by using the robustness of embedded watermarks (EW) against the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 39–45 Read article
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Refractive Index Measurement Using Integrated Fiber Optics Triangulation Technique
Abstract: Quantitative and qualitative analytical techniques are of considerable importance for the purpose of detection, identification and measurement in biomedical application. Over the years, several methods have been developed to detect and quantify various biological samples. However each of this method presents certain limitations pertaining to its sensitivity, accuracy, and reproducibility. The recent trend to improve biochemical analysis is to provide a platform, which is more sensitive, accurate, portable, rapid and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 32–37 Read article
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Temporal Information Extraction from Textual Data using Long Short Term Memory Recurrent Neural Network
Abstract: Temporal information extraction from raw text is always challenging. It is time consuming and sometimes difficult to extract temporal expression manually. For this reason, an automatic system is a demand to find the temporal expressions from the textual data automatically. In this paper, we have developed a temporal information extraction system using Long Short Term Memory (LSTM) recurrent neural network (RNN) along with word embedding where temporal expressions are extracted …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 1–6 Read article
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Static and Dynamic Analysis for Optimum PZT Positioning and Optimum Voltage in a Delaminated Smart Composite Beam
Abstract: This paper conducts a comprehensive static and dynamic analysis of a delaminated composite beam with and without a piezoelectric layer making use of the principle of minimum potential energy. A new finite element model for composite laminate with delamination defect using cohesive zone method is developed using ANSYS APDL. A lead zirconate titanate (PZT) patch is embedded over the delaminated model following the results obtained from static analysis. The work …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 13–27 Read article
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Automatic Track Faults Detection and Time Delay by using Embedded System
Abstract: AbstractThe technology used in metro train movement is the one which is used in most developed countries. The train contains a controller that gives the permission to the continuous running of the train from initial station to the upcoming destination. In this module, a self-directed train will eliminate the need of any driver; therefore, any manmade error will not take place. In this project, arduino controller has been used as …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 10–14 Read article
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A Review on Minimization of Makespan of Flow Shop Scheduling Problem
Abstract: When in real world, a large number of jobs and machines are taken into consideration, at that time the proper scheduling plays a vital role. Most of the industries are facing problems regarding proper scheduling. In this review paper, there are different techniques suggested for minimization of makespan for flow shop scheduling problem. Makespan is the total length of the scheduling when all jobs are done. Dispatching rule is better …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 3, 2016 · pp. 16–21 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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A Seismic Analysis of R.C. Structures Under Tuned Mass Damper System.
Abstract: A Seismic Analysis of R.C. Structures Under Tuned Mass Damper System treats seismic force reduction of multi-storey buildings using embedded dampers. tuned mass damper is investigated. Dynamic analysis was carried out using Etabs to obtain the damped and undamped responses of the structure in terms of deflections at all storeys in order to evaluate the effectiveness of the damping system to reduce the seismic response. The earthquake zone v used …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 28–36 Read article
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Abandoned Object Detection via Temporal Consistency Modeling for Visual Surveillance
Abstract: This paper introduces a successful approach for distinguishing abandoned luggage in surveillance recordings. We join short- and long-term foundation models to concentrate on closer view of objects, where every pixel in an information picture is named a 2 bit code. In this manner, we acquaint a structure with recognized static frontal areas in light of the worldly move of code designs, and to figure out if the applicant districts contain …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 1–6 Read article
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Internet of Things: A Route to Smart Libraries
Abstract: Internet of Things: A Route to Smart LibrariesInternet of things (IoT) is the ubiquitous technology in the present scenario. The possibility of connecting various objects in the library with human–human, thing–human, thing–thing without human interference is possible through these embedded technologies. The artificial intelligence of this kind helps mankind in various aspects in daily life. This paper discusses the concept of IoT applicable to library housekeeping activities. Radio-frequency identification (RFID), …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 1, 2017 · pp. 29–34 Read article
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Machine Learning-Based Optimization of Additive Manufacturing with Improved Mechanical Performance: Development of Sustainable Thermoplastic Composites
Abstract: Additive manufacturing has successfully manufactured lightweight, programmable and geometrically complicated components. However, reliable mechanical performance and efficient use of resources remain hard. This paper presents a machine learning (ML) based approach to optimize additive fabrication of sustainable thermoplastic composites with enhanced mechanical characteristics. The suggested approach combines material composition, printing settings and process circumstances to forecast and optimize tensile strength, flexural strength, impact resistance and dimensional stability. The aim is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Real Time Ai Based Fault Detection in EV
Abstract: Electric vehicles (EVs) are rapidly increasing in usage, but motor faults can affect their performance and safety. This paper presents a real- time AI-based fault detection system using sensor data and embedded processing. The system utilizes an ESP32 microcontroller along with current, vibration, and temperature sensors to continuously monitor motor conditions. An intelligent algorithm analyzes real-time data to detect abnormalities such as overheating, overcurrent, and mechanical faults. When a fault …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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Sound Source Localization Application on Nios II Embedded System
Abstract: This paper presents the software implementation of binaural sound source localization employing interaural time difference (ITD) method on NIOS system built on FPGA Altera DE2-70. Hardware components on NIOS system were configured and generated using SOPC builder. FFT based cross correlation algorithm was developed for ITD computation. The developed system was tested in a semi-anechoic room and used white noise as sound source. Best sound arrival estimation obtained for sound …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 3, 2015 · pp. 1–7 Read article
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Automatic Text Summarization – A Review
Abstract: ABSTRACT We present Encoder/Decoder a unique methodology for summarization of text documents. The summarization of text is to be done in two forms one is abstractive and the other one is extractive. Summarization of text is a main job of natural language processing. With the help of new idea we make a unique amalgam model of abstractive-extractive to combine BERT(Bidirectional Encoder Representations from Transformers). Firstly we transform the summaries which …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 22–27 Read article
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Design and Development of Intelligent Solar Tree Based on Fuzzy PD Plus I Based Solar Tracking Algorithm
Abstract: AbstractScarcity of availing energy is certainly minimizing due to the uncontrollable usage of electricity. In order to overcome this situation, power generations are moving on to the non-conventional or renewable side. Particularly, in India, solar energy is considered as greatest resource of generating electricity. It is unrestricted, infinite, non-polluting, ecological and frequent source of energy. The project explains astral control tree that generates vast quantity of liveliness by occupying very …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 4–9 Read article
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Human Library: Sharing Tacit Knowledge Through Human Books
Abstract: Human beings are influenced by their surroundings in many ways. The basic influence is of one human on the other. The Human Library was build to have a positive conversation that can challenge stereotypes and prejudices through dialogue. This dialogue gives rise to several questions which are answered in the process of conversation to get satisfactory results to the reader. It is a place where real people take form of …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 378–381 Read article