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Improving dye-sensitized solar cell longevity: An aerogel encapsulation approach

Journal of the Taiwan Institute of Chemical Engineers 2025年 174卷

作者： Savisha Mahalingam Abreeza Manap Kam Sheng Lau Dita Floresyona Chin Hua Chia Nurfanizan Afandi Puvaneswaran Chelvanathan Faiz Arith Agung Nugroho Institute of Sustainable Energy Universiti Tenaga Nasional Jalan IKRAM-UNITEN 43000 Kajang Selangor Malaysia Materials Science Program Faculty of Science and Technology Universiti Kebangsaan Malaysia 43600 Bangi Selangor Malaysia Department of Chemical Engineering Faculty of Industrial Technology Universitas Pertamina Jalan Teuku Nyak Arief Simprug Kebayoran Lama Jakarta 12220 Indonesia Department of Mechanical Engineering College of Engineering Universiti Tenaga Nasional Jalan IKRAM-UNITEN 43000 Kajang Malaysia Solar Energy Research Institute (SERI) Universiti Kebangsaan Malaysia 43600 Bangi Selangor Malaysia Faculty of Electronics and Computer Technology and Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal 76100 Melaka Malaysia

The primary challenge in dye-sensitized solar cells (DSSCs) is electrolyte leakage, compromising long-term stability and performance. Alternative electrolytes and encapsulation strategies have been explored to address this. In this study, we propose using nitrogen, fluorine, and sulfur-doped reduced graphene oxide (NSF-rGO) aerogel as an electrolyte encapsulator within DSSCs. The NSF-rGO aerogel was synthesized using a one-pot hydrothermal technique and serves to trap the liquid electrolyte, enhancing cell stability while maintaining conductivity. Although the initial power conversion efficiency of the NSF-rGO-based DSSC was lower than that of the conventional DSSC, it demonstrated significantly improved long-term stability. After two years, the efficiency drop in the NSF-rGO encapsulated DSSC was notably less than in the conventional design, indicating effective electrolyte retention and resistance to degradation. These results suggest that NSF-rGO aerogel encapsulation is a promising strategy for extending the operational lifespan of DSSCs and contributing to more sustainable energy solutions.

关键词： Conductivity Electrical properties Energy Heteroatoms

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A Study of the Sensitivity of the Fuel Consumption to Driving Strategy by Micro Simulation

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Procedia computer Science 2019年 157卷 375-381页

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Information Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Global warming due to excessive emission greenhouse gases is a significant issue faced by humanity, and collectively, cars and trucks contribute about 20% to the entire global-warming gases. For a reason, recently, many attempts have been endured to reduce the emission and to increase fuel efficiency, including vehicle platooning, better driving strategy, and increasing engine efficiency. This study intends to provide a more detail assessment regarding the effects of the driving strategy to fuel consumption. For the purpose, the vehicle dynamics are quantified by employing the car-following model based on the optimal velocity model. The fuel consumption is estimated from the regression model of Ahn 18 . The result suggests that the braking distance strongly affects fuel consumption.

关键词： Optimal Velocity Model Micro Simulation Car-Following Model Fuel Efficiency

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Convolutional Neural Network for Pineapple Ripeness Classification Machine

Convolutional Neural Network for Pineapple Ripeness Classifi...

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International Conference on Electrical Engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Anusorn Chaikaew Thanawut Thanavanich Pumipong Duangtang Kittakorn Sriwanna Wipobh Jaikhang Program of Computer Science Chiang Rai Rajabhat University Chiang Rai Thailand Faculty of Industrial Technology Chiang Rai Rajabhat University Chiang Rai Thailand

This paper proposes an applying to use a neural network for a pineapple sorting machine based on the skin color to classification the level of the pineapple's ripeness by dividing it into unripe pineapples, partial ripe pineapple, and fully ripe pineapples. The using Convolutional Neural Network (CNN) to help classify made the machines used for classification without many labor worker. The result after prediction from confusion metrics is 79% accuracy for unripe pineapples, 82% for partial ripe pineapples and 100% for fully ripe pineapples after training has test accuracy 98.38% and 90.77% when evaluating with the test set.

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A robotic dating coaching system leveraging online communities posts

arXiv

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arXiv 2020年

作者： Jo, Sihyeon Joung, Eun Gyo So, Minseob Jung, Donghwi Nespoli, Giulia Seo, Seung-Woo Kim, Keonwoo Yoo, Seungryong Kim, Seong-Woo Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Technology Management Economics and Policy Program Seoul National University Seoul Korea Republic of Department of Industrial Engineering Seoul National University Seoul Korea Republic of Department of Civil and Environmental Engineering Seoul National University Seoul Korea Republic of Department of Industrial Design Seoul National University Seoul Korea Republic of Graduate School of Engineering Practice Seoul National University Seoul Korea Republic of

Can a robot be a personal dating coach? Even with the increasing amount of conversational data on the internet, the implementation of conversational robots remains a challenge. In particular, a detailed and professional counseling log is expensive and not publicly accessible. In this paper, we develop a robot dating coaching system leveraging corpus from online communities. We examine people’s perceptions of the dating coaching robot with a dialogue module. 97 participants joined to have a conversation with the robot, and 30 of them evaluated the robot. The results indicate that participants thought the robot could become a dating coach while considering the robot is entertaining rather than helpful. © 2020, CC-BY.

关键词： Social networking (online)

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Magnetized and quadratic convection based thermal transport in ternary radiative bio-nanofluid via intelligent neural networks: Two hidden layers mechanism

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Results in Physics 2024年 65卷

作者： Ayub, Assad Darvesh, Adil Shah, Syed Zahir Hussain Junjua, Moin-ud-Din Santos, Elizaldo Domingues dos Ahmad, Shabbir Hendy, Ahmed S. Ragab, Adham E. Department of Mathematics & Statistics Hazara University Manshera Pakistan School of Mathematical Sciences Zhejiang Normal University Zhejiang Jinhua 321004 China Programa de Pós-Graduação em Modelagem Computacional/LMCE Escola de Engenharia Universidade Federal do Rio Grande – FURG RS Rio Grande 96203900 Brazil FURG Escola de Engenharia RS Rio Grande Brazil Department of Basic Sciences and Humanities Muhammad Nawaz Sharif University of Engineering and Technology Multan 60000 Pakistan Department of Computational Mathematics and Computer Science Institute of Natural Sciences and Mathematics Ural Federal University 19 Mira St. Yekaterinburg 620002 Russian Federation Department of Industrial Engineering College of Engineering King Saud University P.O. Box 800 Riyadh 11421 Saudi Arabia Department of Mathematics Ghazi University Dera Ghazi Khan 32200 Pakistan Graduate Program of Ocean Engineering School of Engineering Universidade Federal do Rio Grande Italia Avenue km 8 96201-900 Rio Grande Brazil Department of Mechanics and Mathematics Western Caspian University Baku 1001 Azerbaijan

Significance: The thermal analysis of nanofluid in a vertical cylinder (artery) in a magnetized environment holds significant implications in physiological and thermal regulation networks. This research is significant in biomedical engineering with applications like medical diagnostics and treatment strategies. Motive: This study investigates the thermal behavior of a magnetized blood-based ternary Carreau nanofluid flowing through a vertically bounded artery with quadratic convection. Velocity and heat transfer analysis is conducted within the artery, utilizing thermal radiation and quadratic convection in a magnetized setting. The base fluid consists of blood, augmented with three nanoparticles: CuO, Al₂O₃, and TiO₂. The investigation centers on examining the properties of blood nanofluid, arterial geometry, and thermal dynamics. Methodology: The physical model generates a set of partial differential equations (PDEs) and similarities mechanism is utilized to fetch its non dimensional form in terms of ordinary differential equations (ODEs). Furthermore, numerical outcomes are obtained with Matlab function bvp4c and obtained data set is trained through robust scheme Levenberg-Marquardt neural network (LMNN) procedure to predict the solution. Findings: Velocity of blood is reduced with increased values of wiessenberg number, magnetic parameter and mixed convection parameter and velocity increases for Second-order convection parameter. Temperature profile decreases with curvature parameter, mixed convection parameter and permeability parameter. © 2024

关键词： Blood fluid Intelligent neural network Magnetized environment Ternary nanoparticles Thermal scrutiny

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SURG-01. DIFFERENTIATION OF GLIOBLASTOMA AND MALIGNANT MENINGIOMA FROM NORMAL BRAIN BY TISSUE STIFFNESS UTILIZING MICROSURGICAL FORCEPS EQUIPPED WITH HAPTICS technology

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Neuro-Oncology 2023年第SUPPLEMENT_5期25卷 v260–v261页

作者： Ezaki, Taketo Kisima, Kohki Shibao, Shunsuke Matsunaga, Takuya Pareira, Eriel Sandika Kitamura, Yohei Takahara, Kento Iwama, Takashi Sampetrean, Oltea Ohnishi, Kouhei Shimono, Tomoyuki Sasaki, Hikaru Keio University School of Medicine Department of Neurosurgery Shinjuku-ku Tokyo Japan Yokohama National University School of Engineering Science Department of Educational Program for Electrical and Computer Engineering Yokohama-shi Japan Keio University School of Medicine Department of Neurosurgery Shinjuku-ku Japan Kanagawa Institute of Industrial Science and Technology Kawasaki-shi Japan Keio University School of Medicine Department of Microbiology and Immunology Shinjuku-ku Japan Keio University Haptics Research Center Kawasaki-shi Japan Tokyo Dental College Ichikawa General Hospital Department of Neurosurgery Ichikawa-shi Chiba Japan

Stiffness of human cancers strongly correlate with their pathology, and it is reported that stiffness can be used as a biomarker. Furthermore, comprehensive analysis has suggested the usefulness of cancer stiffness in diagnosis and malignancy prediction and its association with molecular expression, as well as its potential for predicting and diagnosing postoperative complications. Neurosurgeons perform tumor resection relying on the sensations that they feel with their own fingertips (tactile sensation), but it takes years of surgical experience to accurately distinguish brain tumor from the surrounding normal brain *** is a new technology regarding touching sensation. Especially, our technology, real haptics, can communicate, record, and reproduce the real sensation. It is also possible to measure and analyze the physical property such as stiffness of the touching object from the obtained haptic *** developed a surgical forceps equipped with haptics technology to distinguish brain tumor tissue from surrounding normal brain tissue. three glioblastoma cell lines (SF126, U87, U251) and a malignant meningioma cell line (IOMM-Lee) were each transplanted intracranially into 5 nude mice. Tumor size was periodically monitored and mice were euthanized at appropriate time points. The stiffness of the tumor and normal brain tissue was measured using a master-slave integrated surgical forceps prototype. The results statistically showed that all four types of brain tumor tissues were stiffer than normal brain tissues. (p = 0.001) In addition, malignant meningioma was statistically stiffer than glioblastomas. (p = 0.025) This result is consistent with actual surgical *** have shown that our surgical forceps has the ability to distinguish pathology of brain tumors as well as to distinguish brain tumor from normal brain tissue. The forceps is also helpful for the neurosurgeons to sense minute change in tissue stiffness.

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Designing an Institutional Research Management System Framework for Higher Education 3

Designing an Institutional Research Management System Framew...

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3rd International Conference on Information Management and technology, ICIMTech 2018

作者： Noerlina Elda Hiererra, Siti Saleh Abbas, Bahtiar Andro Makalew, Brilly Maya Kristin, Desi Nugraha Mursitama, Tirta David Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Mobile Application Technology Program Jakarta11480 Indonesia Computer Science Department Bina Nusantara University School of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

Although research activity plays a big role in institutional ranking and provides a great benefit for university lecturer, the process of managing all research activity is tedious and exhausting. In most university, management must be able to collect all hundreds of proposals and reports;not to mention they must be able to accommodate the process of reviewing every single proposal. They also need to monitor all research output in final report and make sure that all of the outputs are correctly achieved from proposed target. In addition to the problems stated, previous activities are done manually, leaving a lot of opportunity to improve and automate the process. All of the addressable opportunity for improvement are explained and explored, thus a model of the web application is created. This paper presents the design of web application used to solve persistent problem in research management, specifically in Binus University. The design methodology is divided into two phases: requirement engineering phase, and system design. Upon finishing the requirement engineering phase, system model is depicted using Unified Modeling Language, specifically: Activity Diagram, Use Case Diagram, and Conceptual Class Diagram. © 2018 IEEE.

关键词： Unified Modeling Language

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Numerical analysis of general-vibration-based method for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

For damage detection, this research article discusses an easy-to-compute damage index derived from the governing dynamic of the structure that has potential practical application in Structural Health Monitoring (SHM). The research uses simplified structural models to explore the sensitivity of the index to damages, to compare the index performance with a traditional but popular damage detection method, and to understand the local/global predictive capability of the index. The research uses two simple models, namely, single- and two-degree-of-freedom systems. The results suggest that the damage index is local, that can only monitor damages occurring near the points of measurements, but it is sensitive to damages, unlike the natural frequency, which is global but less sensitive.

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The accuracy of the F statistic for structural health monitoring

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AIP Conference Proceedings 2020年第1期2227卷

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita 1Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 2Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 3Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 4Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Understanding the reliability of engineering methods is crucial for its adoption and deployment. This research focuses on the reliability of the Power Spectral Density (PSD) method via the use of the F statistic for damage detection. To the author best knowledge, the method is rather classic but its realibility has not been discussed in the context of a large data size. Priory, the research anticipates that the accuracy is a function of the damage level. In this study, we evaluate 3500 cases with five levels of structural integrity, namely, healthy condition and damaged conditions with 1%, 5%, 10%, and 20% damage levels. The dataset is established via a numerical analysis of a seven degree-of-freedom system loaded with a concentrated dynamic force with random magnitude. A spring on the system is reduced in its stiffness to simulate damages. Our significant findings are the following: it is challenging for the PSD-based method to differentiate the healthy condition from the damaged conditions when the damage level is small. However, the reliability is high at 95% probability when the structural integrity has dropped by five percent.

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Cancer risk assessment system by android application in smartphone 17

Cancer risk assessment system by android application in smar...

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6th International Conference on Bioinformatics and Biomedical Science, ICBBS 2017

作者： Chunngam, Bunthida Computer Engineering Program Faculty of Industrial Education Rajamangala University of Technology Suvarnabhumi Suphanburi Thailand

ISBN: (纸本)9781450352222

This research was cancer risk analysis system development on Android operating system. This research had objective to developed cancer risk analysis system development on Android operating system and studied satisfaction of system user. There were 5 experts who were 3 information technology experts, 2 professional level registered nurses. There were 100 sample users to test this system which collected data by questionnaire about system efficient evaluation and satisfaction about this risk assessment system. This system had 3 functions which were system using, system feather evaluation and system accuracy evaluation which analyzed by frequency of rating scales, mean and standard deviation. This data analysis result from these 5 experts found that the system using performance quality had good level satisfaction (3.95 mean), system feather function analysis had good level satisfaction (4.12 mean) and system accuracy had good level satisfaction (4.13 mean). © 2017 Association for Computing Machinery.

关键词： Risk analysis

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