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63 articles for “embedded systems”

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Research ArticleOpen accessIn the abstractAdvanced Hierarchical Deep Learning Approach for Intrusion Detection: Hyperparameter Tuning and Performance Evaluation on the CICIDS DatasetAjeet Singh, Azath M, Shahazad Niwazi Qurashi et al.Intrusion Detection Systems (IDS) are essential in the communication security and integrity of contemporary network architectures. This study introduces a novel advanced hierarchical deep learning model for network intrusion detection using the CICIDS dataset-2019. To improve the detection accuracy, the proposed model architecture builds several deep learning layers embedded with hyperparameters' optimization. Additional preprocessing steps, including over-sampling and min-max scaling, … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,158 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Sistem Komunikasi Markas (Siskomma) in IS/IT Architecture Planning to Face Modern Warfare: A TOGAF Based Approach for National Defense Data Integration in the Indonesian ArmyYosua Dwimaryanto Budi Prawiro, Nilo LegowoIn the era of modern warfare, effective Information Systems (IS) and Information Technology (IT) architecture planning are essential for the Indonesian Army to maintain a competitive edge. This paper presents a comprehensive approach to IS/IT architecture planning, focusing on integrating national defense data within the Indonesian Army organization. Utilizing the TOGAF (The Open Group Architecture Framework) approach, the research aligns … …Journal of Computer Science, Vol. 21, Issue 8 · 24 Nov 2025 · 1,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware-based Control Algorithm for Providing Convergence Region with an Increasing Polynomial under Windowed FIR FiltersSergio Bimbi Junior, Vitor Chaves De Oliveira, Agenor De Toledo Fleury, Ronaldo RuasThis work developed a control algorithm for dynamical systems to high performance manner, in a way to produce an optimum output applying a modification in digital filters, capable of increasing the convergence zone within the desired cut -off frequency. Such task focused on consistently improving the challenge present in digital filters, which are time-invariant linear systems that are able to … …Journal of Computer Science, Vol. 14, Issue 7 · 17 Jul 2018 · 8,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermining the Time Required to Detect Induced Sow Lameness Using an Embedded Microcomputer-Based Force Plate SystemBrady McNeil, Julia Calderón Díaz, Caitlyn Bruns et al.Lameness in swine breeding herds is a common cause of compromised animal well-being and economic loss to pig producers. Current lameness assessment methods are subjective and require intensive training. It has been shown that embedded microcomputer-based force plate systems can detect lameness by measuring weight distributions in livestock. The objective of this study was to determine the minimum time required … …American Journal of Animal and Veterinary Sciences, Vol. 13, Issue 2 · 25 May 2018 · 7,616 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantization and Pipelined Hardware Implementation of Deep Neural Network ModelsEl Hadrami Cheikh Tourad, Mohsine EleuldjInrecent years, Deep Neural Networks (DNNs) have garnered much interest due toadvances in computational power and data availability. Indeed, DNNs presents a considerable advantage in several challenges, suchas classification problems and video analysis. Although, such accomplishmentleads to significantly increasing energy demands, computational expenses, andmemory capacity. In addition, current efficient DNNs may have more complex andextensive structures. As a result, implementing … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Platform Models in Model Driven Engineering of Embedded SoftwareInali Wisniewski Soares, Luciane Telinski Wiedermann Agner, Paulo Cézar Stadzisz, Jean Marcelo SimãoThis paper presents two UML 2.0 profiles for designing embedded software based on Real-Time Operating Systems (RTOS). The first profile, named Application Modeling Profile (AMP), defines the necessary elements for the application modeling. The second one, named swxRTOS, defines a set of stereotypes to describe platform models and the mapping between application and platform. These profiles are used for the … …Journal of Computer Science, Vol. 11, Issue 12 · 12 Feb 2016 · 6,988 accessesView PDFCite
Research ArticleOpen accessIn the abstractEMERGING TRENDS IN ADAPTIVE COMPUTATION FOR MOBIQUITOUS SYSTEMSJesus FriginalThe future is in networked embedded systems. This affirmation is based on the principle that networked embedded systems will make possible the development of more intelligent living, work, entertainment, energy production systems and transport environments. It is estimated that the number of networked smart objects on a planetary scale will increase beyond20 billion units by 2020, thus promoting the emergence … …Journal of Computer Science, Vol. 10, Issue 11 · 19 Aug 2014 · 8,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CASE FOR HYBRID INSTRUCTION ENCODING FOR REDUCING CODE SIZE IN EMBEDDED SYSTEM-ON-CHIPS BASED ON RISC PROCESSOR CORESGovindarajalu Bakthavatsalam, K. M. MehataEmbedded computing differs from general purpose computing in several aspects. In most embedded systems, size, cost and power consumption are more important than performance. In embedded System-on-Chips (SoC), memory is a scarce resource and it poses constraints on chip space, cost and power consumption. Whereas fixed instruction length feature of RISC architecture simplifies instruction decoding and pipeline implementation, its undesirable … …Journal of Computer Science, Vol. 10, Issue 3 · 23 Nov 2013 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractLOW FOOTPRINT HIGH INTELLIGIBILITY MALAY SPEECH SYNTHESIZER BASED ON STATISTICAL DATALau Chee Yong, Tan Tian SweeSpeech synthesis plays a pivotal role nowadays. It can be found in various daily applications such as in mobile phones, navigation systems, languages learning software and so on. In this study, a Malay language speech synthesizer was designed using hidden Markov model to improve the performance of current Malay speech synthesizer and also extend Malay speech technology. Statistical parametric method … …Journal of Computer Science, Vol. 10, Issue 2 · 19 Nov 2013 · 6,725 accessesView PDFCite