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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Fuadi, Wahyu Sahputra, Ilham Fariadi, Dedi Agustinar Universitas Malikussaleh Informatics Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia Universitas Malikussaleh Electrical Engineering Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The importance of the K-Medoid model in viewing disaster-prone areas in each sub-district in North Aceh. The advantage of the k-medoid model results is that it has better cluster centers than other models. The novelty of this research is the cluster results are assessed by each decision maker using the Borda group model in providing flood disaster assistance or areas that are a priority for handling, which are included in the flood-prone cluster. Therefore, this research is important because it can be used to identify areas most severely affected by flooding. This research aims to analyze and identify the impact of flood hazards based on grouping and decision-making using the Borda group model in each sub-district in North Aceh. The results of the k-medoids model show 3 clusters that can see potential areas for flood disasters, namely very vulnerable. There are six sub-districts. For the k-medoids results, ten sub-districts are vulnerable. Lastly, the safe zones are 11 sub-districts. This research's k-medoid model analysis is more precise in seeing clusters of places that are potentially affected by flooding based on spatial maps of their nearest neighboring areas. The percentage of each cluster is as follows: Cluster 1 is 4%, Cluster 2 is 55%, and Cluster 3 is 41%. The k-medoid model provided this result after three iterations, with a closeness difference of 1.594510537. The results of the Borda model group research can be used as a recommendation for the areas that receive the highest priority in disaster management. © 2023 IEEE.

关键词： Floods

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Pre-treatment optimization to reduce membrane fouling during produced water treatment with an integrated FO-MD system

Science Talks

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Science Talks 2025年 14卷

作者： Muhammad Saqib Nawaz Sofiane Soukane Muhammad Bilal Asif Veerabhadraiah Gudideni Sultan Alrubaish Noreddine Ghaffour Environmental Sciences and Engineering Program Division of Biological and Environmental Sciences and Engineering (BESE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Physical Sciences and Engineering Division (PSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Energy Systems Division Process & Control Systems Department Saudi Aramco Dhahran Saudi Arabia

During oil exploration, fresh water that is injected into underground reservoirs returns to the surface loaded with hydrocarbons, salts, and other contaminants. This complex solution is typically known as produced water (PW). Generally, different PW streams are generated at a given site, which, after suitable treatment, are sent for re-injection for enhanced oil recovery or to disposal wells. However, there is a potential for water recovery from this hypersaline contaminated stream. Forward osmosis (FO) and membrane distillation (MD) are two low-pressure membrane treatment technologies successfully used in a single hybrid system for PW treatment. During operation, the key foulants on the FO membrane were CaSiO 3 , CaSO 4 , and NaCl, while for MD, they were SiO 2 and CaSO 4 plus emulsified oil, causing pore clogging. Some foulants were tightly bound and not removed by osmotic backwashing or hydraulic flushing, thus requiring pre-treatment. Different pre-treatment techniques, like ion exchange resins and polymeric and ceramic membrane-based ultrafiltration (UF), were assessed in this study. The resins were able to remove bivalent metallic ions successfully from lower concentration streams only and thus caused an increase in FO flux and a reduction in MD flux by disturbing the FO-MD system equilibrium. The higher concentrations of resins and chemicals required for their regeneration make them unsuitable for such applications. On the contrary, PW pre-treated with polymeric and ceramic UF membranes led to increased FO and MD fluxes without any chemical requirement and proved suitable for pre-treatment.

关键词： Pre-treatment Produced water Ion-exchange resins Ultrafiltration Forward osmosis Membrane distillation

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Integrated 6G TN and NTN Localization: Challenges, Opportunities, and Advancements

IEEE Communications Standards Magazine

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IEEE Communications Standards Magazine 2025年

作者： Saleh, Sharief Zheng, Pinjun Liu, Xing Chen, Hui Keskin, Musa Furkan Priyanto, Basuki Beale, Martin Ettefagh, Yasaman Seco-Granados, Gonzalo Al-Naffouri, Tareq Y. Wymeersch, Henk Chalmers University of Technology Department of Electrical Engineering Sweden King Abdullah University of Science and Technology (KAUST) Electrical and Computer Engineering Program Division of Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Saudi Arabia Sony Europe BV United Kingdom Universitat Autònoma de Barcelona Department of Telecommunications and Systems Engineering Spain

The rapid evolution of cellular networks has introduced groundbreaking technologies, including large and distributed antenna arrays and reconfigurable intelligent surfaces in terrestrial networks (TNs), as well as aerial and space-based nodes in non-terrestrial networks (NTNs). These advancements enable applications beyond traditional communication, such as high-precision localization and sensing. While integrating TN and NTN enablers will lead to unparalleled opportunities for seamless global localization, such integration attempts are expected to face several challenges. To understand these opportunities and challenges, we first examine the distinctive characteristics of the key 6G enablers, evaluating their roles in localization from both technical and practical perspectives. Next, to identify developments driving TN-NTN localization, we review the latest standardization and industrial innovation progress. Finally, we discuss the opportunities and challenges of TN-NTN integration, illustrating its potential through two numerical case studies. © 2017 IEEE.

关键词： 6G localization low-Earth-orbit (LEO) satellites non-terrestrial network (NTN) reconfigurable intelligent surface (RIS) terrestrial network (TN)

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Preliminary feasibility of mindfulness in motion to improve physiological biomarkers of wellbeing in healthcare providers during dayshift hours

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Discover Public Health 2025年第1期22卷 1-11页

作者： Merrigan, Justin J. Klatt, Maryanna Quatman-Yates, Catherine Emerson, Angela Kronenberg, Jamie Orr, Morgan Caputo, Jacqueline Daniel, Kayla Duchemin, Anne-Marie Steinberg, Beth Hagen, Joshua A. Human Performance Collaborative Office of Research The Ohio State University Columbus USA Center for Integrative Health Department of Family and Community Medicine College of Medicine The Ohio State University Columbus USA Gabbe Health and Wellbeing The Ohio State University Wexner Medical Center The Ohio State University Columbus USA School of Health and Rehabilitation Sciences Division of Physical Therapy The Ohio State University Columbus USA Stress Trauma and Resilience Program Department of Psychiatry College of Medicine The Ohio State University Columbus USA Department of Integrated Systems Engineering The Ohio State University Columbus USA

Mindfulness in Motion (MIM) can improve stress, resiliency, and burnout in healthcare providers but physiological outcomes are unknown. Thus, this study evaluated the effects of MIM on respiration rate (RR), heart rate (HR), and heart rate variability (HRV). Nineteen healthcare providers wore chest strap electrocardiography (ECG) devices and remained still and seated while data were recorded for 5 min prior to (MIM-Start) and after completing (MIM-End) each of the 8 weekly MIM sessions. Metrics included: HR, RR, root-mean square of successive differences between R–R intervals (RMSSD), standard deviation of R–R intervals (SDNN), absolute low frequency power (LF), and absolute high frequency power (HF). At MIM-End, average SDNN (47.8 ± 26.6 vs. 38.2 ± 16.7 ms) and LF Power (2375 ± 3306 vs. 906 ± 1272 ms2) were greater and RR was slower (11.9 ± 3.0 v. 13.9 ± 3.0 bpm) than MIM-Start (p < 0.05). The Connor-Davidson Resilience Scale increased from Week-1 (27.7 ± 4.8) to Week-8 (31.5 ± 4.8, p < 0.001). Compared to Week-1, HR was slower and RMSSD was greater during weeks 2, 3, and 4. There were increases in SDNN and LF, as well as decreases in RR, HF Power, and LF/HF Ratio at MIM-Start for some later weeks compared to MIM-Start at Week-1 (p < 0.05). For healthcare workers in normal work hours, respiration rates were slower and HRV improved but HRV frequency metrics could suggest slight physiological arousal at the end of MIM sessions. These results should be taken with caution, but MIM improved physiological biomarkers of stress at the start of some of the 8 weekly sessions.

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ADISSA - ARCHITECTURAL DESIGN OF INFORMATION-systems BASED ON STRUCTURED ANALYSIS

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INFORMATION systems 1988年第2期13卷 193-210页

作者： SHOVAL, P Computer and Information Systems Program Department of Industrial Engineering and Management Ben-Gurion University of the Negev P.O. Box 653 Beer Sheva 84105 Israel

ADISSA is a methodology for Architectural Design of Information systems and Software, based on Structured Analysis. The architectural design includes: 1. (a) design of a tree-structured menu system, which interfaces between the users and the system—viewed as the “external architecture” of the system; and 2. (b) design of the transactions of the system, composed of various functions which are activated in response to user needs and various events in the universe of discourse—viewed as the “internal architecture” of the system. The menu tree and the transactions are tied up with the other major components of the system architecture: the inputs and outputs, and the database. ADISSA methodology is fully compatible and consistent with Structured Analysis, and therefore the stages of system analysis and design are integrated into one complete process.

关键词： Architectural design data flow diagram development methods software engineering structured analysis and design transactions user interface

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Grapenet_Lv1 for the Prediction of Optimum Hand-Picking Time of Nagano Purple Grapes

SSRN

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SSRN 2025年

作者： Islam, Md. Parvez Shinagawa, K. Hatou, K. Abdurrakhman, Arief Dian, K. Department of Biomechanical Systems Faculty of Agriculture Ehime University 3-5-7 Tarumi Matsuyama790-8566 Japan United Graduate School of Agriculture Ehime University 3-5-7 Tarumi Matsuyama790-8566 Japan Department of Instrumentation Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Business Mathematics Program Study School of Applied STEM Universitas Prasetiya Mulya BSD Campus BSD City Kav. Edutown I.1 Tangerang15339 Indonesia Indonesia

We investigated the optimum hand-picking time of Nagano Purple, a rare Japanese table grape variety. The color sensitivity between pure red–purple–black and pure purple–black makes it difficult for farmers to harvest these fruits at the right time while maintaining high sweetness level. We manually extracted 13 color parameters, namely, X, Y, Z, x, y, L*, a*, b*, L, a, b, C*, and h, from 355 grape skin samples using a colorimeter, which is a time-consuming and expensive process. In addition, we developed a 15-layer shallow long short-term memory (LSTM) and bidirectional long short-term memory (BLSTM) neural network, namely, GrapeNet_Lv1, with a learnable parameter of 1.39E+06. This network is compact and requires low computational cost for training. Furthermore, it has the ability to prevent the problems of vanishing gradient and overfitting. The combination of all the 13 aforementioned parameters yielded promising results in predicting color and sweetness levels, with test accuracies of 0.83 and 0.76, respectively. In the prediction of color level, our proposed network GrapeNet_Lv1 achieves a high validation accuracy of 0.92, F1 score of 0.88, recall of 0.87, low validation loss of 0.39, and RMSE of 0.31. However, in the prediction of sweetness level, GrapeNet_Lv1 achieves a relatively low validation accuracy of 0.79, F1 score of 0.70, recall of 0.69, high validation loss of 0.72, and RMSE of 0.33. Further research can help improve the accuracy. GrapeNet_Lv1 can be applied to other crops, where, predicting the whose optimal hand-picking time is difficult to predict based on color recognition. Keywords: Neural network;LSTM-BLSTM;Nagano Purple, color, sweetness © 2025, The Authors. All rights reserved.

关键词： Long short-term memory

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Influence of road environmental elements on pedestrian and cyclist road crossing behaviour

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SICE Journal of Control, Measurement, and System Integration 2021年第2期14卷 50-58页

作者： Saito, Yuichi Kochi, Fuma Itoh, Makoto Fushima, Takesato Sugano, Takashi Yamamoto, Yasunori Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan Master's Program in Risk and Resilience Engineering University of Tsukuba Tsukuba Japan Mazda Motor Corporation Hiroshima Japan

The pedestrian and cyclist-related accident fatality rate is higher than that of other traffic accidents. One of the pedestrian behaviours that leads to traffic accidents is the act of moving rapidly onto the road from a blind spot without warning. Expert drivers practice hazard-anticipatory driving and will naturally seek to reduce uncertainty by attempting to fit their current driving context into a pre-existing category. Risk management is the process of identifying hazards and assessing and controlling risks to attain safety. The purpose of this study was to evaluate the influence that driving context-altering road environmental elements exert on the road-crossing behaviour of pedestrians and cyclists. Thus, this study attempted to identify covert hazards (obscured pedestrians and cyclists). A logistic regression analysis was employed along with data from the near-miss incident database, in which approximately 140,000 near-crash-relevant events were registered in 2017. By using the logistic regression analysis along with the annotations recorded in the database, we constructed a predictive model to identify covert hazards. The study demonstrated the feasibility of using a set of environmental elements that shape the driving context to construct a predictive model that identifies covert hazards. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Database systems

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Adaptive Fault Detection Based on Neural Networks and Multiple Sampling Points for Distribution Networks and Microgrids

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Journal of Modern Power systems and Clean Energy 2022年第6期10卷 1648-1657页

作者： J.Marín-Quintero C.Orozco-Henao A.S.Bretas J.C.Velez A.Herrada A.Barranco-Carlos W.S.Percybrooks Electric and Electronic Engineering Program Universidad Tecnológica de BolívarCartagenaColombia Electrical and Electronic Engineering Department Universidad del NorteBarranquillaColombia Distributed Systems Group Pacific Northwest National LaboratoryGainesvilleUSA

Smart networks such as active distribution network(ADN)and microgrid(MG)play an important role in power system *** design and implementation of appropriate protection systems for MG and ADN must be addressed,which imposes new technical *** paper presents the implementation and validation aspects of an adaptive fault detection strategy based on neural networks(NNs)and multiple sampling points for ADN and *** solution is implemented on an edge *** are used to derive a data-driven model that uses only local measurements to detect fault states of the network without the need for communication *** sampling points are used to derive a data-driven model,which allows the generalization considering the implementation in physical *** adaptive fault detector model is implemented on a Jetson Nano system,which is a single-board computer(SBC)with a small graphic processing unit(GPU)intended to run machine learning loads at the *** proposed method is tested in a physical,real-life,low-voltage network located at Universidad del Norte,*** testing network is based on the IEEE 13-node test feeder scaled down to 220 *** validation in a simulation environment shows the accuracy and dependability above 99.6%,while the real-time tests show the accuracy and dependability of 95.5%and 100%,*** hard-to-derive parameters,the easy-to-implement embedded model highlights the potential for real-life applications.

关键词： Distribution network microgrid adaptive protection intelligent electronic device machine learning

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Bioimplant-on-a-Chip for Facile Investigation of Periodontal Ligament Formation on Biogenic Hydroxyapatite/Ti6Al4 V Implants

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ACS applied materials & interfaces 2025年第21期17卷 2025 May 13页

作者： Sangbae Park Jae Eun Kim Juo Lee Woochan Kim Woobin Choi Myung Chul Lee Jae Woon Lim Kyoung-Je Jang Hoon Seonwoo Jangho Kim Jong Hoon Chung Department of Biosystems Engineering Seoul National University Seoul 08826 Korea. Research Institute of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Integrated Major in Global Smart Farm College of Agriculture and Life Sciences Seoul National University Seoul 08826 Republic of Korea. Department of Convergent Biosystems Engineering College of Life Science and Natural Resources Sunchon National University Suncheon 57922 Republic of Korea. Department of Convergence Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Department of Rural and Biosystems Engineering Chonnam National University Gwangju 61186 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Chonnam National University Gwangju 61186 Republic of Korea. Medicinal Materials Research Center Biomedical Research Division Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea. Department of Bio-Systems Engineering Institute of Smart Farm Gyeongsang National University Jinju 52828 Republic of Korea. Institute of Agriculture & Life Science Gyeongsang National University Jinju 52828 Republic of Korea. Interdisciplinary Program in IT-Bio Convergence System Sunchon National University Suncheon 57922 Republic of Korea. Institute of Nano-Stem Cells Therapeutics NANOBIOSYSTEM Co. Ltd Gwangju 61008 Republic of Korea. ELBIO Inc Seoul 08812 Republic of Korea.

Highly osseointegrative dental implants surrounded by reconstructed periodontal tissues represent a promising strategy for functional tooth replacement, as they mimic the structural and physiological characteristics of natural teeth. However, there is currently a lack of in vitro platforms that can effectively evaluate the integration of engineered periodontal ligament (PDL) tissues with bioimplants. In this study, we developed a bioimplant-on-a-chip (BoC) platform designed to recapitulate the native PDL-cementum interface and assess the early stage biological performance of bioimplants in vitro. The BoC consists of a dental implant, a calcium phosphate cement (CPC) insert, a nanopatterned polydimethylsiloxane (PDMS) substrate, and PDL-like tissue derived from human dental pulp stem cells (DPSCs). To establish viable culture conditions within the platform, surface coatings and cell seeding densities were optimized to support the formation of PDL-like tissue. Nanogrooved substrates were incorporated to guide cellular alignment, which was assessed through orientation analysis. Collagen fiber organization and matrix deposition were further examined as indicators of ligamentous tissue maturation. Cementogenic activity was evaluated by immunofluorescent staining of cementum protein-1 (CEMP-1) in response to varying biogenic hydroxyapatite (bHA) contents in the bioimplants. The results demonstrated successful reproduction of a PDL-like tissue interface and material-dependent differences in CEMP-1 expression. This platform provides a modular and reproducible tool for the comparative evaluation of bioimplants in a physiologically relevant setting and may be useful in advancing regenerative strategies in dental implantology.

关键词： bioimplant-on-a-chip bioimplants in vitro model periodontal ligament tissue engineering

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EFFECTS OF REFRACTIVE INDEX AND ASPECT RATIO ON THE PARTICLE IMAGES IN A LEVITATED DROPLET

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Multiphase Science and Technology 2024年第1期36卷 13-26页

作者： Gatete, Eugene Kaneko, Akiko Shen, Biao University of Tsukuba Systems and Information Engineering Graduate School of Science and Technology Degree Program of Engineering Mechanics and Energy 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan University of Tsukuba Faculty of Engineering of Information Engineering and Systems 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A technique using droplets suspended by ultrasound has attracted attention as one of the containerless processing methods. While this can avoid contamination from the container, it is known that ultrasonic levitation creates flow fields inside and outside the droplet. For more precise droplet control, it is desirable to elucidate the internal flow of the droplet, and measurements of the internal flow have been performed using the particle image velocimetry (PIV). The aim of this study is to elucidate the internal flow field behavior by solving optical problems and improving the accuracy of velocity field measurements in levitated droplets. The fluid that is to be investigated is scattered with small tracer particles and illuminated by a laser to capture the flow on a created laser sheet. The curvature distortion is successfully visualized using the PIV approach toward distortion correction using calibration methods. The curvature distortion illustration was performed based on the refractive index and aspect ratio of the simulated droplet in acrylic materials. The fluid flow, affected by droplet curvature and refractive index, has been visualized for both levitated and simulated droplets. The experimental results showed that the droplet curvature can be distorted in two types such as radial and tangential distortions and increase as the refractive index and aspect ratio increases. © 2024 by Begell House, Inc.

关键词： Refractive index

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