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2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Hsu, Chien-Lung Hsu, Yi-Cheih Shih, Yu-Jen Wu, Cheng-Wei Hsu, Fu-Hau Graduate Institute of Management Chang Gung University Taoyuan Taiwan Department of Information Management Chang Gung University Taoyuan Taiwan Healthy Aging Research Center Chang Gung University Taoyuan Taiwan Department of Visual Communication Design Ming-Chi University of Technology Taoyuan Taiwan Chang-Gung Memorial Hospital Taoyuan Taiwan Department of Master of Science Degree Program in Innovation for Smart Medicine Chang Gung University Taoyuan Taiwan National Central University Taoyuan Taiwan Chang Gung University Taoyuan Taiwan

ISBN: (纸本)9798350389210

With the recent rapid development of the Internet of Vehicles and autonomous driving technology, the demand for digital vehicle identification has also increased. Coupled with the gradual maturity of quantum technology, the Internet of Vehicles, which mainly uses wireless communication technology for data transmission, will face the threat of quantum computing and privacy issues. This research proposes the Vehicle Forensics Cloud System (VFCS), a framework combining post-quantum cryptography and blockchain technology to address these issues and provide a comprehensive solution for vehicle digital forensics. © 2024 IEEE.

关键词： Quantum cryptography

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Macroscopic Fundamental Diagrams According to the Different Flood Depths on Probe Vehicle Data in Urban Bangkok

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Journal of Traffic and Transportation Engineering 2020年第1期8卷 20-28页

作者： Piyapong Suwanno Prasan Jitpat Rattanaporn Kasemsri Bethala Aditya Atsushi Fukuda Program of Transportation Systems Engineering Graduate School of Science and TechnologyNihon UniversityChiba 274-8501Japan Research Unit of Technology and Innovation on Civil Engineering College of Industrial Technology and ManagementRajamangala University of Technology SrivijayaNakhon Si Thammrat 80210Thailand School of Civil Engineering Suranaree University of TechnologyNakhon Ratchasima 30000Thailand Department of Transportation Systems Engineering College of Science and TechnologyNihon UniversityChiba 274-8501Japan

Impact of flood depth on traffic volume in two different zones of the Bangkok road network was investigated using traffic data obtained from probe vehicle trajectories.A Macroscopic Fundamental Diagram(MFD)was utilized to compare traffic flow rates across two road network zones in the city for a variety of flood depths,namely 0-5 cm,5-10 cm,10-15 cm,15-30 cm,and more than 30 *** of empirical analysis over an observation period of one year as 2019 showed that flood depths had a strong correlation with the MFD parameters of free-flow speed,maximum flow,and traffic jam *** particular,road floods greatly reduced average maximum flow across the inner city road network in *** floods had a significant impact on traffic characteristics of urban road networks.

关键词： Road flood probe vehicle MFD

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Classifying Attitudes of Thai Business Organizations Toward the Perceived Benefit of Customer Predictive Analytics

Classifying Attitudes of Thai Business Organizations Toward ...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Santisook Limpeeticharoenchot Nagul Cooharojananone Thira Chavarnakul Kanokwan Atchariyachanvanich Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Mathematics and Computer Science Faculty of Science Chulalongkorn University Bangkok Thailand Department of Commerce Chulalongkorn University Bangkok Thailand Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781538626344;9781538626337

In this paper, we applied K-means++, Agglomerative and Decision Tree techniques to classify characteristics of Thai business organizations toward the perceived benefit of predictive analytics. We believe that different characteristics of business organizations require different solution approaches to overcome challenges and gain business value. In the exploratory survey, we collected 84 respondents, who are data analysts, business analysts, business owners, management, and IT managers. The respondents' size of organization varies from small firms to large firms. The result from three techniques of classification shows that Thai business organizations perceiving the benefit of predictive analytics could be divided into two groups. We further confirmed that with the analysis of variance technique to identify the difference of means in each parameter. We also found that the most important descriptive profile is led by customer-related factors such as a change in the percentage of customers, the number of direct customers, and number of sales and marketing staff. These are followed by technology factors, which are the number of external and internal data sources and number of analytics and technologies currently used for data analytics.

关键词： Organizations Data analysis Clustering algorithms Big Data Organizational aspects Decision trees

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Ion-exchanged zeolite as a hybrid system: Fluoxetine removal and antibacterial activity

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Microporous and Mesoporous Materials 2025年

作者： Gabriela Maria Matos Demiti Natália Cândido Homem Helena Prado Felgueiras Anna Carla Ribeiro Benício Alves de Abreu Filho Mara Heloisa Neves Olsen Scaliante Miguel Torres Rodríguez Rosângela Bergamasco State University of Maringá Department of Chemical Engineering Av. Colombo 5790 Maringá 87020-900 Paraná Brazil Centre for Textile Science and Technology (2C2T) University of Minho (UMinho) Azurém Campus University Street 4800-058 Guimarães Portugal Simoldes Plastics Research and Innovation Department Comendador António da Silva Rodrigues Street 100 3720-502 Oliveira de Azeméis Portugal State University of Maringá Department of Biotechnology Genetics and Cell Biology Av. Colombo 5790 Maringá 87020-900 Paraná Brazil State University of Maringá Post-Graduate Program in Food Science Av. Colombo 5790 Maringá 87020-900 Paraná Brazil Metropolitan Autonomous University Division of Basic Science and Engineering Av. San Pablo Xalpa 180 San Martin Xochinahuac Azcapotzalco Ciudad de México 02128 Mexico

The increasing consumption of antidepressants, aggravated by the coronavirus disease 2019 (COVID-19) pandemic, has resulted in the detection of compounds such as fluoxetine in drinking water. This substance is highly toxic to aquatic organisms and has the potential for bioaccumulation in aquatic environments. This study evaluated the effects of modifying natural zeolites through ion exchange to enhance their adsorption capacity and assess their multifunctional potential. Natural zeolites were modified by immersion in 0.1 mol L −1 solutions of AgNO 3 , MgCl 2 , FeSO 4 , and FeCl 3 , and their performance in fluoxetine removal was systematically compared. The samples were characterized by Fourier-transform infrared spectroscopy, X-ray diffraction, X-ray fluorescence spectroscopy, thermogravimetric analysis, point of zero charge, scanning electron microscopy, and transmission electron microscopy. Adsorption experiments were conducted with an adsorbent concentration of 1 g L −1 and an initial fluoxetine concentration of 20 mg L −1 . The silver-modified zeolite (ZN-AgNO 3 ), which achieved the best performance among the tested materials, was selected for further testing. The pseudo-second-order and Langmuir models provided the best kinetic and isotherm fits, respectively, with a maximum adsorption capacity of 36.36 mg g −1 , achieved at 308 K and an equilibrium time of 21 h. Desorption experiments showed that the adsorbent maintained recovery rates above 50% over four cycles of reuse. The main adsorption mechanisms involved ion exchange, electrostatic interactions, and hydrogen bonding, in addition to the affinity of silver with the functional groups of fluoxetine. The adsorbent also inhibited the growth of Escherichia coli . Overall, ZN-AgNO 3 demonstrated potential for fluoxetine removal and antibacterial activity.

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Preparation of nut-based milk alternative: evaluation of an Amazonian nut (Bertholletia excelsa) beverage with annatto nanodispersion

Food Chemistry Advances

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Food Chemistry Advances 2023年 3卷

作者： Paiva, Luana C． de M. Guedes, Marcelino C. Ferreira, Diego Q. Rodrigues, Ediglei G. Machado, Francisco Paiva Fernandes, Caio P. Post-Graduate Program in Pharmaceutical Innovation (Network Program) Federal University of Amapá AP Macapá CEP 68903-419 Brazil Laboratory of Phytopharmaceutical Nanobiotechnology Federal University of Amapá AP Macapá CEP 68903-419 Brazil Embrapa Amapá AP Macapá CEP 68903-419 Brazil Post-graduate Program in Environmental Sciences Federal University of Amapá AP Macapá CEP 68903-419 Brazil Laboratory of Technology in Natural Products Fluminense Federal University Niterói RJ Rio de Janeiro CEP 24241-000 Brazil

Plant-based milk alternatives are in the spotlight of novelty and Amazonian nut has a great potential for the preparation of these beverages. In the present study, extraction of Amazonian nut was carried out with water and creaming index was evaluated. Hydroethanolic annatto extract was subjected to spectrophotometric analysis in order to determine bixin content. Annatto nanodispersions were prepared through a low energy method involving stepwise addition of deionized water to organic phase. Dynamic light scattering analysis was performed for particle size distribution and encapsulation efficiency determined by ultracentrifugation. In the present paper, we prepared an Amazonian-nut milk alternative, being the prototype added of annatto nanodispersion. Sensory analysis with untrained panelists was performed. Nanosizing (diameter < 300 nm and polydispersity index < 0.400) of annatto extract was reached and toxicity assay of the nanodispersion prepared with annatto extract, polysorbate 80/sorbitan monooleate (HLB = 13), and propyleneglycol at a 2:1:1 ratio indicated no mortality in both gender of zebrafish. Attributes of color, aroma, flavor texture, overall opinion, and intention of purchasing revealed, together with consumer's acceptance, that a suitable Amazonian nut plant-based milk alternative could be reached, contributing to an integrated approach of using two Amazonian raw materials of economic interest for food purposes. © 2023 The Author(s)

关键词： Amazonian nut-milk alternative Annatto extract Bertholletia excelsa Bixa orellana Colloids

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An Approach on Monitoring Evolution of Projects by Professional Performance Assessment: A Case Study at the Amazon Regional Center of the National Institute for Space Research

An Approach on Monitoring Evolution of Projects by Professio...

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Portland International Conference on management of Engineering and technology (PICMET)

作者： Marck da Silva Márcia Nazaré Rodrigues Barros Lucyana Barros Santos Marcos Adami Alessandra Rodrigues Gomes Foundation for Science Technology and Space Applications São José dos Campos Brasil Post-Graduate Program in Environmental Sciences Federal University of Para Belém Brasil Postgraduate Program in Amazon's Natural Resource Management and Local Development Federal University of Para Belém Brasil INPE Amazon Regional Center Belém Brasil

This work investigates strategic management processes of projects involved in the Brazilian aerospace field, addressing the Regional Center of the Amazon of the National Institute of Space Research. It proposes an approach in the monitoring of the evolution of projects by evaluation of professional performance, showing results in graphs and the need to survey and follow the most evident and significant technological advances in the mapping environment of land use and land cover in the Amazon. It addresses the main difficulties faced in the process of managing projects and people to achieve goals, needing to know the Geographic Information System tools used by employees, such as Terramazon, and their respective times consumed in this type of software. The work intends to serve as a basis for investigating, developing and implementing new management options that will reduce the efforts required by managers and administrators during the process of monitoring the evolution of projects. The methodology of Project management Institute (PMI) and its Guide to the Project management Body of Knowledge (PMBOK Guide) was used in this research work, ensuring an international quality.

关键词： Monitoring Project management Forestry Satellites Law Software

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Bridge Sub Structure Defect Inspection Assistance by using Deep Learning

Bridge Sub Structure Defect Inspection Assistance by using D...

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IEEE International Conference on Awareness Science and technology

作者： Pravee Kruachottikul Kittikul Kovitanggoon Nagul Cooharojananone Donnaphat Trakulwaranont Gridsada Phanomchoeng Kanokwan Atchariyachanvanich Thira Chavarnakul Technopreneurship and Innovation Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Mathematics and Computer Science Chulalongkorn University Bangkok Thailand Department of Mechanical Engineering Chulalongkorn University Bangkok Thailand Department of Commerce Chulalongkorn University Bangkok Thailand Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

Road transportation is the most popular transportation in Thailand, which the top two highest traffic are the region-to-region highways;and then inter-city highways. Therefore, the regular maintenance is required to maintain the good condition due to road safety. The most significant process of bridge inspection procedures is sub structure inspection, which requires visual inspection as an initial step. This process is used to quick determine the damage severity i.e. appearance and crack that may cause damage to the structure strength. The current process requires that the experienced maintenance engineer to be on the field in order to visual inspect and estimate whether the maintenance is required. Yet, due to the limitation of number of expert engineers to be on the field, the photo verification is introduced to assist them so that they are no need on every inspection site. However, using human to verify has no standard and uncontrollable. They need to have experience and good knowledge. As well as it is highly depended on individual decisionmaking skill. Thus, in this paper, the deep learning technique will be presented to assist the expert for quality inspection process of bridge sub structure images. That is using image enhancement and then image splitting and overlapping for image pre-processing. After that applying CNNs for object classification. As a result, the total accuracy is 89% based on 3926 dataset.

关键词： Bridges Inspection Machine learning Maintenance engineering Convolution Training Concrete

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FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

FincGAN: A Gan Framework of Imbalanced Node Classification o...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hung Chun Hsu Ting-Le Lin Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang Graduate Program of Data Science National Taiwan University and Academia Sinica Taiwan Department of Accounting and Statistics National ChengChi University Taiwan Department of Risk Management and Insurance National ChengChi University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan

Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases. Applying them directly to imbalanced data can lead to sub-optimal performance. Traditional oversampling methods, while effective, risk overfitting and face difficulties in reintegrating synthetic samples into the original graph. In this study, we introduce Framework of Imbalanced Node Classification on heterogeneous graph neural network with GAN (FincGAN), a new framework that utilizes oversampling techniques to address class imbalance in heterogeneous graphs. Instead of duplicating existing samples, FincGAN employs a Generative Adversarial Network (GAN) to create synthetic samples and uses deep learning-based edge generators to connect them back to the original graph. Our evaluations on spam user detection in the Amazon and Yelp Review datasets show that FincGAN outperforms baseline models in all essential metrics, including F-score and AUC-PRC score, showing its effectiveness in addressing class imbalance.

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Multiple criteria hierarchy process for sorting problems under uncertainty applied to the evaluation of the operational maturity of research institutions

arXiv

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arXiv 2019年

作者： Pelissari, Renata Abackerli, Alvaro José Amor, Sarah Ben Oliveira, Maria Célia Infante, Kleber Manoel Telfer Management School University of Ottawa Ottawa Canada Post Graduate Program of Industrial Engineering Methodist University of Piracicaba Santa Bárbara d’OesteSP Brazil Shool of Applied Sciences University of Campinas Limeira Brazil Embrapii-Brazilian Association for Industrial Research and Innovation BrasíliaDF Brazil Engineering School Mackenzie Presbyterian University São Paulo Brazil KMI Software Consulting Jundiaí Brazil

Despite the availability of qualified research personnel, up-to-date research facilities and experience in developing applied research and innovation, many worldwide research institutions face difficulties when managing contracted Research and Development (R&D) projects due to expectations from Industry (private sector), particularly regarding the applied development procedures, managerial processes and timing. Such difficulties have motivated funding agents to create evaluation processes to check whether the operational procedures of funded research institutions are sufficient to provide timely answers to demand for innovation from industry and also to identify aspects that require quality improvement in research development. For this purpose, several multiple criteria decision-making approaches can be applied. In this context, the research institutions are considered as alternatives for funding and their processes for research development as decision criteria. Among the available multiple criteria approaches, sorting methods are one prominent tool to evaluate the operational capacity. However, the first difficulty in applying multiple criteria sorting methods is the need to hierarchically structure multiple criteria in order to represent the intended decision process. Additional challenges include the elicitation of the preference information and the definition of criteria evaluation, since these are frequently affected by some imprecision. In most approaches, all these critical points are neglected, or, at best, only partially considered. In this paper, a new sorting method is proposed to deal with all of those critical points simultaneously. To consider multiple levels for the decision criteria, the FlowSort method is extended to account for hierarchical criteria. To deal with imprecise data, the FlowSort is integrated with fuzzy approaches. To yield solutions that consider fluctuations from imprecise weights, the Stochastic Multicriteria Acceptability Analysis

关键词： Decision making

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Preface: Marine and coastal applications in landscape ecology

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Landscape Ecology 2008年第SUPPL. 1期23卷 1-5页

作者： Hinchey, Elizabeth K. Nicholson, Matthew C. Zajac, Roman N. Irlandi, Elizabeth A. U.S. Environmental Protection Agency National Health and Environmental Effects Research Laboratory Atlantic Ecology Division Narragansett RI 02882 27 Tarzwell Dr United States Illinois-Indiana Sea Grant College Program Purdue University Chicago IL 60604 77 West Jackson Blvd. (G-17J) United States U.S. Environmental Protection Agency Environmental Information and Analysis Branch Environmental Assessment and Innovation Division Philadelphia PA 19103-2029 1650 Arch Street United States Graduate Program in Environmental Science Department of Biology and Environmental Science University of New Haven West Haven CT 06516 300 Boston Post Road United States Department of Marine and Environmental Systems Florida Institute of Technology Melbourne FL 32901 150 West University Boulevard United States

Landscape ecology traditionally has been limited to the study of terrestrial systems;however, the questions and methods defining the science are equally relevant for marine and coastal systems. The reciprocal relationship between spatial pattern and ecological processes and the overarching effect of scale on this relationship was being explored in some marine and coastal settings as the general discipline of landscape ecology was evolving throughout the latter two decades of the last century. As with all components of the biosphere, an understanding of these relationships is critical for successful management of marine and coastal systems. In these systems, widely dispersed field or ship-based observations and lack of broad scale data have historically precluded quantification of large-scale patterns and processes and hindered management efforts. However, relatively recent advances in geographic information systems, remote sensing and computer technologies have begun to address these issues and are now permitting assessments of pattern and process in oceans. The intent of this special issue is to highlight research that is adapting the tools of landscape ecology to answer ecological questions within marine and coastal systems, to address the unique challenges faced in these landscapes, and to stimulate an exchange of ideas and solutions to common problems. Inspiration for this special issue of Landscape Ecology began with a special session on "Marine and Coastal Applications in Landscape Ecology" that was held at the 19th Annual Symposium of the United States Regional Association of the International Association for Landscape Ecology, March 31-April 2, 2004 in Las Vegas, Nevada. © 2007 Springer Science+Business Media B.V.

关键词： Benthic landscapes Habitat fragmentation Landscape ecology Larval dispersal Marine coral reef reserves Polychaete species diversity Reef fish communities Seagrass landscape pattern Sediment metal concentrations

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