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2nd International Conference on sciences and Technology Applications, ICOSTA 2020

作者： Retno Susilorini, Rr M. I. Febrina, Rina Fitra, Helmia Adita Rajagukguk, Juniastel Wardhani, Dhiyan Krishna Arya Wastanimpuna, B.Y. Nola Prameswari, Laurel Lia Department of Infrastructure and Environmental Engineering Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Central Java50234 Indonesia Department of Civil Engineering Faculty of Engineering Malahayati University Bandar Lampung South Sumatera35153 Indonesia Department of Regional and Urban Planning Sumatera Institute of Technology South Lampung South Sumatera35365 Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Universitas Negeri Medan Medan North Sumatera20221 Indonesia Doctoral Program of Digital Architecture Faculty of Architecture and Design Soegijapranata Catholic University Semarang Central Java50234 Indonesia

Indonesia is earthquake and tsunami prone areas, included Sumatera Island. Bandar Lampung is also vulnerable to earthquake and tsunami, especially Kangkung fishing village in Lampung Bay. Disaster risk reduction is very important to be implemented in the cases of earthquake and tsunami, which can save more life and build resilience in facing the hazard. This research aimed to study how the knowledge, awareness, and resilience of people in Kangkung fishing village can strengthen the earthquake and tsunami disaster risk reduction. This research conducted by quantitative methods. Survey and interview of 53 respondents were conducted as well as data collecting approached by purposive sampling. The results found that there is little knowledge and awareness of people in Kangkung fishing village of the hazard of earthquake and tsunami. Therefore, this research proposed a model of "Community-Based Resilience Strategy"Model of earthquake and tsunami disaster risk reduction. It is a comprehensive and sustainable model of how people take a part in disaster risk reduction by intensive participatory. Conclusion of this research emphasized that disaster risk reduction is a big matter in marginalized society such as people in Kangkung fishing village. The "Community-Based Resilience Strategy"Model of earthquake and tsunami disaster risk reduction that may increase the knowledge and awareness to become more resilience. © Published under licence by IOP Publishing Ltd.

关键词： Hazards

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Carbon nitride- and graphene-based materials for the photocatalytic degradation of emerging water pollutants

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Materials Advances 2024年第7期5卷 2668-2688页

作者： Indra Jaya Budiarso Valentinus Alphano Dabur Riska Rachmantyo Hermawan Judawisastra Chechia Hu Arie Wibowo Master Program in Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia Doctoral Program in Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia ariewibowo@itb.ac.id Department of Chemical Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan 320 Taiwan Research Center for Nanoscience and Nanotechnology Institut Teknolgi Bandung Ganesha 10 Bandung 40132 West Java Indonesia

Photocatalytic degradation is a promising way to treat emerging pollutants in wastewater. Recently, metal-free photocatalysts such as carbon nitride- and graphene-based materials have attracted much interest in the photocatalytic degradation of emerging water pollutants owing to their visible light activity and unique electrical properties, respectively. Graphitic carbon nitride (GCN) is considered a superior visible light–active photocatalyst because of its suitable bandgap (2.7 eV). Moreover, the facile synthesis process and the high chemical and thermal stability of GCN make it one of the research hotspots in photocatalytic wastewater treatment. Besides GCN, graphene and its derivatives are utilized to support main photocatalysts by enhancing their light absorption, pollutant adsorption, and photogenerated charge separation. Furthermore, the vast modification of these materials has promoted various outstanding performances in carbon nitride- and graphene-based photocatalysts in the application of pollutant degradation. In this review, we highlight recent developments in carbon nitride- and graphene-based photocatalysts (2018–2023), focusing on the strategies to improve the activity of GCN as a visible light–active photocatalyst and the role of graphene and its derivatives as supporting materials in wastewater pollutant remediation applications.

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Interferometry Among Strongly Driven Quasiparticles with Distinct Dynamical and Geometrical Phases

Interferometry Among Strongly Driven Quasiparticles with Dis...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： O'Hara, Seamus Costello, Joe Tian, Qi Wu, Qile West, Ken Pfeiffer, Loren Sherwin, Mark Wu, Liang Department of Physics Institute of Terahertz Science and Technology University of California Santa Barbara Santa BarbaraCA93106 United States Intelligence Community Post-Doctoral Research Fellowship Program PhiladelphiaPA19104 United States Department of Physics University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Computer Engineering Princeton University PrincetonNJ08542 United States

ISBN: (纸本)9781957171395

In this proceeding, we present polarization data of sidebands emitted from strongly driven quasiparticles, demonstrate the dependence of these data on various parameters of the external driving field, and describe the data using an analytical expression, dependent on driving field parameters and the effective Hamiltonian of the system. We propose using this method on spin-momentum locked systems, such as altermagnets, to observe and reconstruct sidebands which are influenced by the topology of individual bands. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Topology

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Application of level-set type topology optimization for defect topology identification analysis using hammering response data

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Materials Today: Proceedings 2023年

作者： Kurahashi, Takahiko Koike, Towa Kishida, Masayuki Murakami, Yuki Ikeda, Fujio Department of Mechanical Engineering Institute of GIGAKU Nagaoka University of Technology Niigata Nagaoka Japan Mechanical Engineering Master's Program Graduate School of Engineering Nagaoka University of Technology Niigata Nagaoka Japan Science of Technology Innovation 5-year Integrated Doctoral Program Graduate School of Engineering Nagaoka University of Technology Niigata Nagaoka Japan Department of Civil Engineering National Institute of Technology Nagaoka College Niigata Nagaoka Japan Department of Mechanical Engineering National Institute of Technology Nagaoka College Niigata Nagaoka Japan

In this study, we presented the defect identification analysis based on the level-set type topology optimization using hammering testing data. To simulate the oscillation behavior of concrete structure, the equation of motion in three dimensions is introduced as the governing equation. The performance function is defied by the time integral of the squared residual between the computed and observed displacements. The problem is to find the defect topologies so as to minimize the performance function. In the model with a small number of observation points, it was found that nonexistent defects disappeared by using the weighted sensitivity method. In addition, it was confirmed that the model with a large number of observation points did not show the same tendency as the model with a small number of observation points because the accuracy of defect identification increased as the number of observation points increased. © 2023

关键词： Defects

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Interferometry Among Strongly Driven Quasiparticles with Distinct Dynamical and Geometrical Phases

Interferometry Among Strongly Driven Quasiparticles with Dis...

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CLEO: Fundamental science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Hamiltonians

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Approximation of group delay response of allpass filters using weighted least square method

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC science 1996年第6期79卷 60-69页

作者： Okuda, M Matsuyama, K Ikehara, M Faculty of Science and Technology Keio University Yokohama Japan 223 Mashiro Okuda received his B.E. and M.E. degrees in Electrical Engineering from Keio University in 1993 and 1995 respectively where he is currently in the doctoral program. He is engaged in research on digital signal processing.

Allpass filters with prescribed group-delay response are useful in compensating such response. In general, the approximation of group-delay response is formulated as a nonlinear problem;thus, its approximation becomes difficult. The design methods with nonlinear optimization have the problem that initial values of filter coefficients are needed and heavy computation is required. The design method is simplified in the conventional method where magnitude response is approximated instead of group-delay response, but the approximation error is increased in the indirect methods. This paper proposes a method in which group-delay response is approximated by a linear function and optimal solution is obtained in the least square sense by iteratively solving the linear equations. This method has the merit that the error of group-delay response is directly evaluated. Moreover, applying Lawson's algorithm to this method, an equiripple solution can be obtained and maximum value of error can be decreased.

关键词： group-delay response allpass filter weighted least square method equiripple approximation

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Perpendicular Co-Zn-Gd Magnetic Film Electrodeposited by Molten Chlorozincate Electrolyte

Perpendicular Co-Zn-Gd Magnetic Film Electrodeposited by Mol...

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International Conference on Magnetics (INTERMAG)

作者： M. Shu T. Wu C. Yang Taiwan SPIN Research Center National Yunlin University of Science and Technology Yunlin Taiwan National Yunlin University of Science and Technology Douliou TW Graduate School of Engineering Science and Technology (Doctoral Program) National Yunlin University of Science and Technology Yunlin Taiwan Department of Environmental Resources Management Overseas Chinese Institute of Technology Taichung Taiwan

We have utilized ZnCl 2 -dimethylsulfone (DMSO 2 ) as the electrolyte with added CoCl 2 and GdCl 3 for electrodepositing a magnetic film. Moreover, the controlled potential method was utilized for film deposition. The voltammogram revealed that the reduction of Co-Zn-Gd film can be achieved by applying a potential in the range from -0.1 to -0.5 volts. From the results of AGM analyses, a high squareness value (Mr/Ms = 0.923) of the Co-Zn-Gd film at -0.3 volt was observed. In previous research, perpendicular magnetic materials have been applied to magnetic optic (MO) media, magnetic recording heads, and perpendicular magnetic tunneling junction (pMTJ). However, preparation of magnetic materials is normally carried out in high vacuum systems. Since electrodeposition methods for preparation of magnetic films have several advantages, such as simple equipment, ease of operation and relatively large area, the use of electrodeposition has great potential for preparing films.

关键词： Magnetic films Optical films Magnetic materials Magnetic analysis Perpendicular magnetic recording Optical recording Magnetic recording Magnetic heads Magnetic tunneling Vacuum systems

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Optimizing Task Execution in Robotic Swarms: Coordination Strategies for Enhanced Efficiency

Optimizing Task Execution in Robotic Swarms: Coordination St...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Vandna Bansla Inderjeet Kaur Rudramani Bhutia Girish Singh Bisht Khemraj Sharma Shivalik Engineering College Dehradun U.K India Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad U.P. India Department of Computer Science & Engineering Koneru Lakshmaiah Education Foundation A.P. India Department of Computer Science & Engineering Tula’s Institute Dehradun India Department of Business Administration Doctoral Program in Management Sciences NANHUA UNIVERSITY Dalin Chiayi R.O.C

ISBN: (数字)9798350350067

ISBN: (纸本)9798350350074

The “swarm robotics” is a relatively recent field of study that investigates the ways in which several robot systems interact with one another throughout the course of time. The organization is able to accomplish its goals by delegating work to a large number of robots that are capable of doing activities that are beyond the capabilities of a single robot. This is accomplished via the use of a broad variety of different methods. It is possible to make use of optimization algorithms in robotic swarms in order to discover answers to difficult trans disciplinary challenges that are encountered in real-world environments. The fact that algorithms for swarm intelligence are able to adjust to changing circumstances makes the potential of this happening a reality. In order to achieve the highest possible level of performance, this study analyses a broad range of different swarm optimization algorithms that may be used to robotic swarm scenarios. This category contains a variety of methodologies, including PSO, GPSO, CSO, ACO, and GSO, among others. Within this section, a comprehensive analysis is provided for each of the strategies that came before it, and an inquiry into the potential future course of action for swarm optimization is furthermore carried out. The ramifications of these tactics are also discussed in this section, which is included in the overall debate.

关键词： Robot kinematics Swarm robotics Organizations Planning Particle swarm optimization Informatics Optimization

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GA-based kernel optimization for pattern recognition: theory for EHW application

GA-based kernel optimization for pattern recognition: theory...

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Congress on Evolutionary Computation

作者： M. Yasunaga T. Nakamura I. Yoshihara J.H. Kim Institute Information Science and Electrical University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program of Engineering University of Tsukuba Tsukuba Ibaraki Japan Miyazaki University Miyazaki Japan The Center for Advanced Computer Studies University of Louisiana Lafayette LA USA

An extension of the kernel-based pattern recognition method using a genetic algorithm is proposed. The method is suited to evolvable pattern recognition hardware using FPGAs. In the conventional method one common kernel function is used in the superposition to make discrimination functions. In the extended method each region of the kernel function is optimized individually. For the kernel-region optimization we use a genetic algorithm to solve a large combinatorial problem almost impossible to solve using any brute-force search. A chromosome represents the kernel region in an n-dimensional pattern space, and each locus corresponds to one of the candidates (genes) for an edge length of the kernel region. We have applied the extended method to a sonar spectrum recognition problem and obtained a recognition accuracy of 83.9%, which is much higher than the 62.0% obtained using the conventional kernel-based method and is also better than 82.7% obtained using the nearest neighbor method and the 83.0% obtained using a neural network (backpropagation algorithm). We have analyzed the individually optimized kernel regions and shown that the GA process automatically extracts features in the patterns and embeds the features in the kernel regions.

关键词： Kernel Pattern recognition Genetic algorithms Hardware Field programmable gate arrays Optimization methods Biological cells Sonar applications Nearest neighbor searches Neural networks

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Exploring Low Rate Dos Attack Detection Methods: A Bibliometric Analysis and Roadmap for Further Research

Exploring Low Rate Dos Attack Detection Methods: A Bibliomet...

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International Conference on Data and Software engineering (ICODSE)

作者： Anteng Widodo Adian Fatchur Rochim Budi Warsito Doctoral Program of Information System School of Postgraduated Studies Diponegoro University Semarang Indonesia Department of Information System Faculty of Engineering Muria Kudus University Kudus Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Statistics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia

Low-Rate Denial of Service (LDoS) attacks, an emerging breed of DoS attacks, present a formidable challenge in terms of their detectability. Within the realm of network security, these attacks cast a substantial shadow over the availability and integrity of services. This study seeks to delve into the intricate mechanics of LDoS attacks and explore the landscape of developed detection methodologies. Employing bibliometric analysis, we employ a multifaceted approach to gather research insights pertaining to LDoS attack detection. This approach encompasses the examination of evolving research trends, scrutiny of widely cited scientific publications within the same domain, identification of prolific researchers shaping the field, and a judicious selection of reputable publishers for dependable information acquisition. Furthermore, our study undertakes a meticulous categorization and classification of previously proposed LDoS detection methods documented in well-established scientific literature. This endeavor not only provides a more profound comprehension of the evolutionary trajectory and thematic thrusts within LDoS attack detection research, but it also facilitates the identification of gaps and directions for future exploration. The culmination of these analytical efforts culminates in a comprehensive framework. This contribution manifests through structured categorization, classification, and a forward-looking research roadmap, which collectively serve as valuable tools for both current and aspiring researchers engaged in LDoS attack detection. In summary, this research not only delves into the complexities of LDoS attacks and their mechanisms but also augments the current understanding of detection capabilities. Through its nuanced contributions, this paper extends a helpful guide to the dynamic realm of LDoS attack detection, thus catalyzing advancements and insights for the future.

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