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753 results on '"Foni A"'

1. Chili Leaf Health Classification using Xception Pretrained Model

Author

Yestika Dian Wulandari, Lulu Chaerani Munggaran, Foni Agus Setiawan, and Ika Atman Satya

Subjects
Technology, Information technology, T58.5-58.64
Abstract

As one of the high-demand horticultural crops, chili peppers have a significant impact on the economy of Indonesia. However, despite the growing demand and interest in chili peppers, their production often faces disruptions due to crop failures. One of the leading causes of such failures is pests and diseases. Among all parts of the chili plant, chili leaves are the most susceptible to damage. Distinguishing between healthy and unhealthy chili leaves can serve as an early detection step for chili diseases and preventive measures to contain their spread. Convolutional Neural Network (CNN) are effective algorithms for image classification. The development of CNN has led to the use of models previously trained on large datasets to accurately classify relatively small datasets. One such pretrained model known for its exceptional classification capabilities is Xception. By utilizing the pretrained Xception model trained on the ImageNet dataset for the classification of healthy and unhealthy chili leaf images, our model achieved an accuracy of 91% on a dataset containing 2136 images. Furthermore, the model achieved a 100% success rate by correctly predicting all 10 out of 10 given images.

Published
2024
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2. Panduan Model Katekisasi Holistik dan Berkelanjutan Untuk Membangun Pembelajaran Bermakna Sesuai Karakteristik Gereja Lokal

Author

Tri Oktavia Oematan, Doni Ariani Leowandri Liu, Elizabeth Margareth Pingak, Hemi Damnosel Bara Pa, and Foni Anita Fanggidae

Subjects
berkelanjutan, model, holistik, katekisasi, panduan, Science, Social Sciences
Abstract

Salah satu isu yang dihadapi oleh Gereja Masehi Injili di Timor (GMIT) yaitu para pengajar katekisasi di GMIT belum memiliki panduan model katekisasi holistik dalam pelaksanaan katekisasi. Berkaitan dengan hal ini maka Program Studi Pendidikan Agama Kristen IAKN Kupang melakukan kegiatan Pengabdian Kepada Masyarakat dengan menyelenggarakan konferensi penyusunan panduan model katekisasi holistik dan berkelanjutan dengan tujuan untuk memperlengkapi dan membantu para pengajar katekisasi dalam membangun pembelajaran bermakna sesuai karakteristik gereja lokal. Metode yang dipakai dalam pelaksaan kegiatan PKM ini yaitu dengan Pra-konferensi dan Konferensi. Pra Konferensi dilaksanakan melalui Zoom Meeting untuk berbagi visi dan menyamakan persepsi sesuai TOR. Tahap Konferensi, pengajar katekisasi mendapatkan materi tentang tentang: a) Model Katekisasi Holistik dan Berkelanjutan; b) Asesmen Diagnostik dan Instrumen/Asesmen Pengembangan Karakter Katekisan. Dalam kegiatan ini, para pengajar katekisasi diharapkan menghasilkan panduan model katekisasi holistik dan berkelanjutan serta bersepakat Bersama untuk mengurangi metode ceramah yang dipakai selama ini dan mengganti dengan metode yang lebih menarik.

Published
2022
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3. Usability and acceptance of crowd-based early warning of harmful algal blooms

Author

Lindung Parningotan Manik, Hatim Albasri, Reny Puspasari, Aris Yaman, Shidiq Al Hakim, Al Hafiz Akbar Maulana Siagian, Siti Kania Kushadiani, Slamet Riyanto, Foni Agus Setiawan, Lolita Thesiana, Meuthia Aula Jabbar, Ramadhona Saville, and Masaaki Wada

Subjects
Early warning system, Crowdsensing, Technology acceptance model, Usability, Harmful algal bloom, Medicine, Biology (General), QH301-705.5
Abstract

Crowdsensing has become an alternative solution to physical sensors and apparatuses. Utilizing citizen science communities is undoubtedly a much cheaper solution. However, similar to other participatory-based applications, the willingness of community members to be actively involved is paramount to the success of implementation. This research investigated factors that affect the continual use intention of a crowd-based early warning system (CBEWS) to mitigate harmful algal blooms (HABs). This study applied the partial least square-structural equation modeling (PLS-SEM) using an augmented technology acceptance model (TAM). In addition to the native TAM variables, such as perceived ease of use and usefulness as well as attitude, other factors, including awareness, social influence, and reward, were also studied. Furthermore, the usability factor was examined, specifically using the System Usability Scale (SUS) score as a determinant. Results showed that usability positively affected the perceived ease of use. Moreover, perceived usefulness and awareness influenced users’ attitudes toward using CBEWS. Meanwhile, the reward had no significant effects on continual use intention.

Published
2023
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4. Ontology-Assisted Expert System for Algae Identification With Certainty Factors

Author

Foni A. Setiawan, Reny Puspasari, Lindung P. Manik, Zaenal Akbar, Yulia A. Kartika, Ika A. Satya, Dadan R. Saleh, Ariani Indrawati, Keiji Suzuki, Hatim Albasri, and Masaaki Wada

Subjects
Harmful algal bloom, algae identification, ontology, certainty factor, expert system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Harmful algal blooms (HABs) are one of nature’s responses to nutrient enrichment in aquatic systems and increasingly occur in coastal waters, such as in Lampung Bay and Jakarta Bay, Indonesia. HABs present environmental and fisheries management challenges due to their unpredictability, spatial coverage, and detrimental health effects on coastal organisms, including humans. Here, an automated algae species identification system assisted and validated by expert judgment was proposed. The system used ontology as guidance to determine the species of algae and certainty factors to indicate the level of confidence of the experts when providing a statement or judgment for a particular object or event under consideration. The system was tested to identify 60 samples using 51 predetermined algal characteristics. The tests were narrowed down to the 20 most common HAB-causing algae types found in the study sites and compared with identification by experts. The results showed that the system successfully identified the test data with an accuracy of 73.33%. The system also had a high agreement (above 79.75%) with the identification performed by experts on six algae species. Further improvement of the system’s accuracy could facilitate its use as an alternative tool in rapid algal identification or part of an early warning system for HABs.

Published
2021
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6. ByNowLife: A Novel Framework for OWL and Bayesian Network Integration

Author

Foni A. Setiawan, Eko K. Budiardjo, and Wahyu C. Wibowo

Subjects
bynowlife, knowledge base, logical reasoning, probabilistic reasoning, ontology enrichment, Bayesian network structural adjustment, owl and Bayesian network integration, Information technology, T58.5-58.64
Abstract

An ontology-based system can currently logically reason through the Web Ontology Language Description Logic (OWL DL). To perform probabilistic reasoning, the system must use a separate knowledge base, separate processing, or third-party applications. Previous studies mainly focus on how to represent probabilistic information in ontologies and perform reasoning through them. These approaches are not suitable for systems that already have running ontologies and Bayesian network (BN) knowledge bases because users must rewrite the probabilistic information contained in a BN into an ontology. We present a framework called ByNowLife, which is a novel approach for integrating BN with OWL by providing an interface for retrieving probabilistic information through SPARQL queries. ByNowLife catalyzes the integration process by transforming logical information contained in an ontology into a BN and probabilistic information contained in a BN into an ontology. This produces a system with a complete knowledge base. Using ByNowLife, a system that already has separate ontologies and BN knowledge bases can integrate them into a single knowledge base and perform both logical and probabilistic reasoning through it. The integration not only facilitates the unity of reasoning but also has several other advantages, such as ontology enrichment and BN structural adjustment through structural and parameter learning.

Published
2019
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9. Interspecies Transmission of Swine Influenza A Viruses and Human Seasonal Vaccine-Mediated Protection Investigated in Ferret Model

Author

van Diemen, Pauline M., Byrne, Alexander M.P., Ramsay, Andrew M., Watson, Samantha, Nunez, Alejandro, Moreno, Ana v., Chiapponi, Chiara, Foni, Emanuela, Brown, Ian H., Brookes, Sharon M., and Everett, Helen E.

Subjects
Vaccination -- Health aspects, Medical research -- Health aspects, Medicine, Experimental -- Health aspects, Swine influenza -- Health aspects, Influenza vaccines -- Health aspects, Infection -- Health aspects, Disease transmission -- Health aspects, Health
Abstract

Influenza A viruses (IAVs) have pandemic potential and remain a threat to human and animal health, mainly owing to their intrinsic ability to continually diversify and infect a broad range [...]

Published
2023
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10. Fabrication of Surface Ion Traps with Integrated Current Carrying Wires enabling High Magnetic Field Gradients

Author

Siegele-Brown, Martin, Hong, Seokjun, Lebrun-Gallagher, Foni R., Hile, Samuel J., Weidt, Sebastian, and Hensinger, Winfried K.

Subjects
Quantum Physics, Physics - Applied Physics, Physics - Atomic Physics
Abstract

A major challenge for quantum computers is the scalable simultaneous execution of quantum gates. One approach to address this in trapped ion quantum computers is the implementation of quantum gates based on static magnetic field gradients and global microwave fields. In this paper, we present the fabrication of surface ion traps with integrated copper current carrying wires embedded inside the substrate below the ion trap electrodes, capable of generating high magnetic field gradients. The copper layer's measured sheet resistance of 1.12 m$\Omega$/sq at room temperature is sufficiently low to incorporate complex designs, without excessive power dissipation at high currents causing a thermal runaway. At a temperature of 40 K the sheet resistance drops to 20.9 $\mu\Omega$/sq giving a lower limit for the residual resistance ratio of 100. Continuous currents of 13 A can be applied, resulting in a simulated magnetic field gradient of 144 T/m at the ion position, which is 125 $\mu$m from the trap surface for the particular anti-parallel wire pair in our design., Comment: 11 pages, 8 figures

Published
2022

12. A two-module trapped-ion quantum computer prototype

Author

Le Brun-Ricalens, Foni Raphaël Charles

Subjects
QC Physics
Abstract

Quantum information technology has the potential to revolutionise a wide range of research fields and to have a profound impact on society. Today, work towards a universal quantum computer is benefiting from recent breakthroughs in quantum hardware engineering. One of the most promising approaches is based on quantum computing modules that are networked via ion shuttling. The modules make use of microfabricated electrodes that create electric fields to confine ensembles of ion qubits. Combining this modular approach with strong magnetic field gradients and long-wavelength radiation quantum gate technology can significantly improve system scalability. Nevertheless, the realisation and simultaneous integration of all the core characteristics of such modules remains an intrinsically challenging task. This doctoral thesis investigates novel techniques and components critical to the engineering of this architecture. A prototype ion trapping system is constructed for the operation of two microfabricated ion-trap modules, which will enable the execution of key operations for networked quantum logic, i.e. high-fidelity one- and two-qubit gates, and shuttling of ion qubits between both modules to realise a matter-based quantum link. In this scheme, high-fidelity quantum gates require a large magnetic field gradient to be generated at the ion position. To achieve this, novel current-carrying wire structures directly embedded within the ion-trap module were developed. These offer a scalable solution to this challenge. The operation of ion traps at cryogenic temperatures is also desirable to further enhance quantum gate fidelities. A thermal model of the ion trap is presented and a cryogenic cooling system capable of meeting the requirements of a large-scale ion-trap architecture is demonstrated. Finally, the constructed two-module ion-trap apparatus is presented. This provides a viable set-up for the execution of these key operations, paving the way towards the realisation of a universal quantum computer.

Published
2022

13. A scalable helium gas cooling system for trapped-ion applications

Author

Lebrun-Gallagher, Foni R., Johnson, Nicholas, Akhtar, Mariam, Weidt, Sebastian, Bretaud, David, Hile, Samuel J., Owens, Alexander, and Hensinger, Winfried K.

Subjects
Quantum Physics
Abstract

Microfabricated ion-trap devices offer a promising pathway towards scalable quantum computing. Research efforts have begun to focus on the engineering challenges associated with developing large-scale ion-trap arrays and networks. However, increasing the size of the array and integrating on-chip electronics can drastically increase the power dissipation within the ion-trap chips. This leads to an increase in the operating temperature of the ion-trap and limits the device performance. Therefore, effective thermal management is an essential consideration for any large-scale architecture. Presented here is the development of a modular cooling system designed for use with multiple ion-trapping experiments simultaneously. The system includes an extensible cryostat that permits scaling of the cooling power to meet the demands of a large network. Following experimental testing on two independent ion-trap experiments, the cooling system is expected to deliver a net cooling power of 111 W at ~70 K to up to four experiments. The cooling system is a step towards meeting the practical challenges of operating large-scale quantum computers with many qubits.

Published
2021

16. Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers

Author

Posth, Cosimo, Yu, He, Ghalichi, Ayshin, Rougier, Hélène, Crevecoeur, Isabelle, Huang, Yilei, Ringbauer, Harald, Rohrlach, Adam B., Nägele, Kathrin, Villalba-Mouco, Vanessa, Radzeviciute, Rita, Ferraz, Tiago, Stoessel, Alexander, Tukhbatova, Rezeda, Drucker, Dorothée G., Lari, Martina, Modi, Alessandra, Vai, Stefania, Saupe, Tina, Scheib, Christiana L., Catalano, Giulio, Pagani, Luca, Talamo, Sahra, Fewlass, Helen, Klaric, Laurent, Morala, André, Rué, Mathieu, Madelaine, Stéphane, Crépin, Laurent, Caverne, Jean-Baptiste, Bocaege, Emmy, Ricci, Stefano, Boschin, Francesco, Bayle, Priscilla, Maureille, Bruno, Le Brun-Ricalens, Foni, Bordes, Jean-Guillaume, Oxilia, Gregorio, Bortolini, Eugenio, Bignon-Lau, Olivier, Debout, Grégory, Orliac, Michel, Zazzo, Antoine, Sparacello, Vitale, Starnini, Elisabetta, Sineo, Luca, van der Plicht, Johannes, Pecqueur, Laure, Merceron, Gildas, Garcia, Géraldine, Leuvrey, Jean-Michel, Garcia, Coralie Bay, Gómez-Olivencia, Asier, Połtowicz-Bobak, Marta, Bobak, Dariusz, Le Luyer, Mona, Storm, Paul, Hoffmann, Claudia, Kabaciński, Jacek, Filimonova, Tatiana, Shnaider, Svetlana, Berezina, Natalia, González-Rabanal, Borja, González Morales, Manuel R., Marín-Arroyo, Ana B., López, Belén, Alonso-Llamazares, Carmen, Ronchitelli, Annamaria, Polet, Caroline, Jadin, Ivan, Cauwe, Nicolas, Soler, Joaquim, Coromina, Neus, Rufí, Isaac, Cottiaux, Richard, Clark, Geoffrey, Straus, Lawrence G., Julien, Marie-Anne, Renhart, Silvia, Talaa, Dorothea, Benazzi, Stefano, Romandini, Matteo, Amkreutz, Luc, Bocherens, Hervé, Wißing, Christoph, Villotte, Sébastien, de Pablo, Javier Fernández-López, Gómez-Puche, Magdalena, Esquembre-Bebia, Marco Aurelio, Bodu, Pierre, Smits, Liesbeth, Souffi, Bénédicte, Jankauskas, Rimantas, Kozakaitė, Justina, Cupillard, Christophe, Benthien, Hartmut, Wehrberger, Kurt, Schmitz, Ralf W., Feine, Susanne C., Schüler, Tim, Thevenet, Corinne, Grigorescu, Dan, Lüth, Friedrich, Kotula, Andreas, Piezonka, Henny, Schopper, Franz, Svoboda, Jiří, Sázelová, Sandra, Chizhevsky, Andrey, Khokhlov, Aleksandr, Conard, Nicholas J., Valentin, Frédérique, Harvati, Katerina, Semal, Patrick, Jungklaus, Bettina, Suvorov, Alexander, Schulting, Rick, Moiseyev, Vyacheslav, Mannermaa, Kristiina, Buzhilova, Alexandra, Terberger, Thomas, Caramelli, David, Altena, Eveline, Haak, Wolfgang, and Krause, Johannes

Published
2023
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20. Engineering of Microfabricated Ion Traps and Integration of Advanced On-Chip Features

Author

Romaszko, Zak David, Hong, Seokjun, Siegele, Martin, Puddy, Reuben Kahan, Lebrun-Gallagher, Foni Raphaël, Weidt, Sebastian, and Hensinger, Winfried Karl

Subjects
Physics - Applied Physics, Physics - Atomic Physics, Quantum Physics
Abstract

Trapped atomic ions are a proven and powerful tool for the fundamental research of quantum physics. They have emerged in recent years as one of the most promising candidates for several practical technologies including quantum computers, quantum simulators, atomic clocks, mass spectrometers and quantum sensors. Advanced fabrication techniques, taken from established and nascent disciplines, are being deployed to create novel, reliable devices with a view to large scale integration and commercial compatibility. This review will cover the fundamentals of ion trapping before proceeding with a discussion of the design of ion traps for the aforementioned applications. We will analyse current microfabrication techniques that are being utilised, as well as various considerations which motivate the choice of materials and processes. Finally, we discuss current efforts to include advanced, on-chip features into next generation ion traps.

Published
2019
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25. Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling.

Author

Abdellah, Marwan, Foni, Alessandro, Cantero, Juan José García, Guerrero, Nadir Román, Boci, Elvis, Fleury, Adrien, Coggan, Jay S, Keller, Daniel, Planas, Judit, Courcol, Jean-Denis, and Khazen, Georges

Subjects
*RESEARCH personnel, *NEUROSCIENCES, *NEURONS, *MORPHOLOGY, *SOLIDS
Abstract

Understanding the intracellular dynamics of brain cells entails performing three-dimensional molecular simulations incorporating ultrastructural models that can capture cellular membrane geometries at nanometer scales. While there is an abundance of neuronal morphologies available online, e.g. from NeuroMorpho.Org , converting those fairly abstract point-and-diameter representations into geometrically realistic and simulation-ready, i.e. watertight, manifolds is challenging. Many neuronal mesh reconstruction methods have been proposed; however, their resulting meshes are either biologically unplausible or non-watertight. We present an effective and unconditionally robust method capable of generating geometrically realistic and watertight surface manifolds of spiny cortical neurons from their morphological descriptions. The robustness of our method is assessed based on a mixed dataset of cortical neurons with a wide variety of morphological classes. The implementation is seamlessly extended and applied to synthetic astrocytic morphologies that are also plausibly biological in detail. Resulting meshes are ultimately used to create volumetric meshes with tetrahedral domains to perform scalable in silico reaction-diffusion simulations for revealing cellular structure–function relationships. Availability and implementation: Our method is implemented in NeuroMorphoVis , a neuroscience-specific open source Blender add-on, making it freely accessible for neuroscience researchers. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Articular Cartilage: Functional Biomechanics

Author

Ferretti, Mário, Costa, Lauro Augusto Veloso, Foni, Noel Oizerovici, Krych, Aaron J., editor, Biant, Leela C., editor, Gomoll, Andreas H., editor, Espregueira-Mendes, João, editor, Gobbi, Alberto, editor, and Nakamura, Norimasa, editor

Published
2021
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32. Author Correction: Palaeogenomics of Upper Palaeolithic to Neolithic European hunter-gatherers

Author

Posth, Cosimo, Yu, He, Ghalichi, Ayshin, Rougier, Hélène, Crevecoeur, Isabelle, Huang, Yilei, Ringbauer, Harald, Rohrlach, Adam B., Nägele, Kathrin, Villalba-Mouco, Vanessa, Radzeviciute, Rita, Ferraz, Tiago, Stoessel, Alexander, Tukhbatova, Rezeda, Drucker, Dorothée G., Lari, Martina, Modi, Alessandra, Vai, Stefania, Saupe, Tina, Scheib, Christiana L., Catalano, Giulio, Pagani, Luca, Talamo, Sahra, Fewlass, Helen, Klaric, Laurent, Morala, André, Rué, Mathieu, Madelaine, Stéphane, Crépin, Laurent, Caverne, Jean-Baptiste, Bocaege, Emmy, Ricci, Stefano, Boschin, Francesco, Bayle, Priscilla, Maureille, Bruno, Le Brun-Ricalens, Foni, Bordes, Jean-Guillaume, Oxilia, Gregorio, Bortolini, Eugenio, Bignon-Lau, Olivier, Debout, Grégory, Orliac, Michel, Zazzo, Antoine, Sparacello, Vitale, Starnini, Elisabetta, Sineo, Luca, van der Plicht, Johannes, Pecqueur, Laure, Merceron, Gildas, Garcia, Géraldine, Leuvrey, Jean-Michel, Garcia, Coralie Bay, Gómez-Olivencia, Asier, Połtowicz-Bobak, Marta, Bobak, Dariusz, Le Luyer, Mona, Storm, Paul, Hoffmann, Claudia, Kabaciński, Jacek, Filimonova, Tatiana, Shnaider, Svetlana, Berezina, Natalia, González-Rabanal, Borja, González Morales, Manuel R., Marín-Arroyo, Ana B., López, Belén, Alonso-Llamazares, Carmen, Ronchitelli, Annamaria, Polet, Caroline, Jadin, Ivan, Cauwe, Nicolas, Soler, Joaquim, Coromina, Neus, Rufí, Isaac, Cottiaux, Richard, Clark, Geoffrey, Straus, Lawrence G., Julien, Marie-Anne, Renhart, Silvia, Talaa, Dorothea, Benazzi, Stefano, Romandini, Matteo, Amkreutz, Luc, Bocherens, Hervé, Wißing, Christoph, Villotte, Sébastien, de Pablo, Javier Fernández-López, Gómez-Puche, Magdalena, Esquembre-Bebia, Marco Aurelio, Bodu, Pierre, Smits, Liesbeth, Souffi, Bénédicte, Jankauskas, Rimantas, Kozakaitė, Justina, Cupillard, Christophe, Benthien, Hartmut, Wehrberger, Kurt, Schmitz, Ralf W., Feine, Susanne C., Schüler, Tim, Thevenet, Corinne, Grigorescu, Dan, Lüth, Friedrich, Kotula, Andreas, Piezonka, Henny, Schopper, Franz, Svoboda, Jiří, Sázelová, Sandra, Chizhevsky, Andrey, Khokhlov, Aleksandr, Conard, Nicholas J., Valentin, Frédérique, Harvati, Katerina, Semal, Patrick, Jungklaus, Bettina, Suvorov, Alexander, Schulting, Rick, Moiseyev, Vyacheslav, Mannermaa, Kristiina, Buzhilova, Alexandra, Terberger, Thomas, Caramelli, David, Altena, Eveline, Haak, Wolfgang, and Krause, Johannes

Published
2023
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46. Hoya Species Plant Identification Based on Leaf and Flower Using Convolutional Neural Network Models

Author

Fitriyah, Hurriyatul, primary, Laxmi, Gibtha Fitri, additional, Hakim, Shidiq Al, additional, Kushadiani, Siti Kania Kania, additional, Setiawan, Foni A, additional, Manik, Lindung Parningotan, additional, Riyanto, Slamet, additional, Siagian, Al Hafiz Akbar Maulana, additional, Hendriawan Nur, Wawan, additional, Rahayu, Sri, additional, and Apriani, Niken Fitria, additional

Published
2023
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