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Augmented Reality Technology for Park Planning: An Innovative Approach to Landscape Design 4

Augmented Reality Technology for Park Planning: An Innovativ...

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4th International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Armawan, Irfan Fabroyir, Hadziq java, muhammad iskandar Mahfud, Ilyas Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia

ISBN: (纸本)9798331506490

Technology is crucial in improving various aspects of modern life. An innovative approach is introduced in this work by combining Augmented Reality (AR) technology with garden planning, resulting in a more interactive, creative, and efficient design experience. The regular mobile app for garden planning often relies on 2D/3D drawings or blueprints, which are limited in providing a comprehensive visualization. In contrast, AR technology has rapidly evolved, offering new possibilities across industries, including landscape design. This article examines the ease of use and viability of Increased Reality (AR) innovation in scene and plant arranging compared to conventional portable applications. The essential objective is to survey AR's potential to supply a more intelligently, imaginative, and productive client encounter. The subordinate factors incorporate assignment completion time, client fulfillment, and workload, as measured by the NASA Errand Stack Record (NASA TLX) over six measurements: Mental request, physical request, worldly request, execution, exertion, and disappointment. Eight members, aged between 20 and 30, were relegated to total plant plan errands utilizing AR and conventional apps. Whereas the AR app took longer in errand completion time, it advertised higher client fulfilment and lower seen workload. The Wilcoxon Signed-Rank test uncovered a critical inclination for AR regarding ease of route (p=0.023). Despite the longer assignment term, AR was found to be more solid and locked in, stamping it as a promising apparatus for future scene plan hones. © 2024 IEEE.

关键词： NASA

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Assisting Neurosurgeons: Advancing Brain Tumor Surgery with Smartphone Augmented Reality Navigation

Assisting Neurosurgeons: Advancing Brain Tumor Surgery with ...

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2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2024

作者： java, muhammad iskandar Hidayati, Shintami Chusnul Sarno, Riyanarto Anistyasari, Yeni Ali, Khurshed Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Informatics Engineering Universitas Negeri Surabaya Surabaya Indonesia Department of Computer Science Sukkur IBA University Sukkur Pakistan

ISBN: (纸本)9798331533137

Integrating Augmented Reality (AR) into neurosurgical procedures has shown substantial promise in enhancing surgical precision and educational outcomes, building upon previous applications primarily focused on simple visualization tasks. This study extends the current scope by using smartphone-based AR navigation systems tailored to assist neurosurgeons performing brain tumor surgery. Unlike prior efforts, our research developed and validated an AR system that superimposes precise virtual representations of critical anatomical structures, such as the skull and brain, onto a 3D-printed patient model. These models are rendered in transparent materials that improve the visibility and understanding of intricate internal structures, facilitating more intuitive surgical planning and training. Our findings demonstrate that while AR significantly enhances the visualization of anatomical details and the alignment of virtual to physical models, its effectiveness depends on the viewing angle and facial feature distinctiveness, achieving the highest accuracy in frontal views. These results underscore improvements over traditional AR systems, which often struggle with accurate depth perception and spatial orientation, and highlight the challenges of broad integration. ©2024 IEEE.

关键词： Smartphones

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Enhancing Cybersecurity: Two-Phase Detection Approach for Intrusion Network for Anomaly Data

Enhancing Cybersecurity: Two-Phase Detection Approach for In...

引用

2024 International Conference on Artificial Intelligence and Mechatronics System, AIMS 2024

作者： java, muhammad iskandar Shabrina, Ulima Inas Wiliyanti Fahmi, Riza Nidhom Pratomo, Baskoro Adi Institut Teknologi Sepuluh Nopember Faculty of Informatics Engineering Surabaya Indonesia

ISBN: (纸本)9798350350524

This research explores the performance of two-phase classification methods in intrusion detection systems (IDS) with various algorithms, including SVM + Naive Bayes, Random Forest + KNN, and other combinations. This research validates the superiority of combination models over individual ones, highlighting RF+KNN as the most effective combination, followed by RF+SVM and SVM+NB. These findings offer valuable insights for cybersecurity practitioners seeking to enhance security measures by selecting balanced model combinations based on performance metrics and computing resources. The RF, KNN, and RF + KNN methods emerge as optimal choices, boasting an accuracy, F1 score, recall, and precision of 99.998%. This combination proves to be highly reliable in minimizing identification errors and detecting potential threats. While the Naive Bayes method demonstrates swift processing times, its detection efficacy lags significantly behind RF, KNN, and RF + KNN. This research underscores the critical importance of strategic model selection for optimal performance in intrusion detection systems. © 2024 IEEE.

关键词： Intrusion detection

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Augmented Reality Technology for Park Planning: An Innovative Approach to Landscape Design

Augmented Reality Technology for Park Planning: An Innovativ...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Irfan Armawan Hadziq Fabroyir muhammad iskandar java Ilyas Mahfud Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798331506490

ISBN: (纸本)9798331506506

关键词： Surveys Visualization Technological innovation NASA Solids Time measurement Planning Mobile applications Socioeconomics Augmented reality

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Assisting Neurosurgeons: Advancing Brain Tumor Surgery with Smartphone Augmented Reality Navigation

Assisting Neurosurgeons: Advancing Brain Tumor Surgery with ...

引用

International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

作者： muhammad iskandar java Shintami Chusnul Hidayati Riyanarto Sarno Yeni Anistyasari Khurshed Ali Department of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Informatics Engineering Universitas Negeri Surabaya Surabaya Indonesia Department of Computer Science Sukkur IBA University Sukkur Pakistan

ISBN: (数字)9798331533137

ISBN: (纸本)9798331533144

Integrating Augmented Reality (AR) into neurosur-gical procedures has shown substantial promise in enhancing surgical precision and educational outcomes, building upon previous applications primarily focused on simple visualization tasks. This study extends the current scope by using smartphone-based AR navigation systems tailored to assist neurosurgeons performing brain tumor surgery. Unlike prior efforts, our re-search developed and validated an AR system that superimposes precise virtual representations of critical anatomical structures, such as the skull and brain, onto a 3D-printed patient model. These models are rendered in transparent materials that improve the visibility and understanding of intricate internal structures, facilitating more intuitive surgical planning and training. Our findings demonstrate that while AR significantly enhances the visualization of anatomical details and the alignment of virtual to physical models, its effectiveness depends on the viewing angle and facial feature distinctiveness, achieving the highest accuracy in frontal views. These results underscore improvements over traditional AR systems, which often struggle with accurate depth perception and spatial orientation, and highlight the challenges of broad integration.

关键词： Training Visualization Accuracy Navigation Brain tumors Brain modeling Cameras Neurosurgery Planning Augmented reality

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Enhancing Cybersecurity: Two-Phase Detection Approach for Intrusion Network for Anomaly Data

Enhancing Cybersecurity: Two-Phase Detection Approach for In...

引用

Artificial Intelligence and Mechatronics Systems (AIMS), International Conference on

作者： muhammad iskandar java Ulima Inas Shabrina Wiliyanti Riza Nidhom Fahmi Baskoro Adi Pratomo Faculty of Informatics Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

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