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Resilience in Firefighting Emergency Response: Standardization and Resilience in Complex Systems

IFAC-PapersOnLine 2016年第32期49卷 119-123页

作者： Righi, Angela W. Huber, Gilbert J. Gomes, Jose O. de Carvalho, Paulo V.R. Graduate Program in Informatics Federal University of Rio de Janeiro Rio de JaneiroRJ Brazil Nuclear Engineering Institute Rio de JaneiroRJ21946-906 Brazil

This study presents an analysis concerning the use of standard operating procedures (SOPs) and identifying sources of resilience and brittleness in an emergency response exercise conducted as training for Rio de Janeiro State Fire Department's captains, Brazil. From the audiovisual record of the exercise performed by 35 young officers, it was noticed the partial activation of 13 SOPs relevant to the exercise. Not all steps under each SOP were activated or even used. Some possible reasons are the novelty related to the use of simulation as well as the exercise design. This bias in the SOPs use was somehow compensated by sources of resilience that contributed to the actions outcome. Positive and negative aspects of this relationship between standardization and resilience were observed and described, contributing to a better understanding of the activity analysis of these professionals. © 2016

关键词： Emergency services Decision support systems Fracture mechanics Public policy Risk management Standardization Activity analysis Cognitive control Emergency management Emergency response Human operator Partial activation Resilience engineerings Standard operating procedures

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Implementation of the Fuzzy Inference System Tsukamoto Method in the Decision Support System

Implementation of the Fuzzy Inference System Tsukamoto Metho...

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2022 International Symposium on Electronics and Smart Devices, ISESD 2022

作者： Alamsyah, Doni Purnama Ramdhani, Yudi Nurbeni, Resza Dendi Bina Nusantara University Binus Business School Undergraduate Program Entrepreneurship Department Jakarta Indonesia Universitas Adhirajasa Reswara Sanjaya Informatics Engineering Program Bandung Indonesia

ISBN: (数字)9798350396607

ISBN: (纸本)9798350396607

Education is one of the basic and initial formations for the growth and development of a child in the process of obtaining a better future. Once the importance of education, the state really supports every citizen in achieving a decent education. The assessment system in each school has a different system, but the assessment system refers to the national education regulations that have been set by the government. Grade promotion aims to measure the achievement of learning outcomes in accordance with the standard of graduate ability and measure the value of quality. An important decision-making, especially in the field of education, is the decision-making to increase grades in school for students. In making the decision to increase this class, it should refer to the results of the competence or academic ability of the student, not because of the intervention of several parties who do not have the capacity to determine whether or not a student is promoted. Therefore, it is necessary to make a decision support system that will assist in obtaining a decision on the feasibility of a grade increase in students using the Fuzzy Inference System of the Tsukamoto Method. The results of this study are a decision support system that can determine the decision to increase grades in students. © 2022 IEEE.

关键词： Decision support systems

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Summation convolution filtered back projection and algebraic reconstruction technique for ring array ultrasound tomography based on time of flight

Summation convolution filtered back projection and algebraic...

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2011 2nd International Conference on Instrumentation Control and Automation, ICA 2011

作者： Ain, K. Kurniadi, D. Trisnobudi, A. Santoso, O. Engineering Physics Program Institut Teknologi Bandung Bandung Indonesia Informatics Program Institut Teknologi Bandung Bandung Indonesia Physics Departement Airlangga University Surabaya Indonesia

ISBN: (纸本)9781457714603

Purpose of the study is to apply SCFBP and ART methods on a ring array ultrasound tomography system based on time of flight. The study was conducted with numerical and experimental object by 16 positions in circular phantom. The data set of ring array was rearranged and interpolated into parallel scheme to reconstructed by SCFBP and ART methods. The result indicated that rearrangement and interpolation is feasible to use SCFBP methods, improve speed and reconstructed image quality on ART methods. © 2011 IEEE.

关键词： Image enhancement

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Multimodal identification of the mouse brain using simultaneous Ca²⁺ imaging and fMRI

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Communications Biology 2025年第1期8卷 1-14页

作者： Mandino, Francesca Horien, Corey Shen, Xilin Desrosiers-Grégoire, Gabriel Luo, Wendy Markicevic, Marija Constable, R. Todd Papademetris, Xenophon Chakravarty, Mallar M. Betzel, Richard F. Lake, Evelyn M. R. Department of Radiology and Biomedical Imaging Yale University School of Medicine New Haven CT United States Interdepartmental Neuroscience Program Yale University School of Medicine New Haven CT United States MD/PhD program Yale University School of Medicine New Haven CT United States Computational Brain Anatomy Laboratory Douglas Mental Health University Institute Montreal QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Department of Biomedical Engineering Yale University School of Medicine New Haven CT United States Department of Neurosurgery Yale University School of Medicine New Haven CT United States Deparment of Biomedical Informatics and Data Science Yale University New Haven CT United States Department of Psychological and Brain Sciences Indiana University Bloomington IN United States Wu Tsai Institute Yale University New Haven CT United States

Individual differences in neuroimaging are of interest to clinical and cognitive neuroscientists based on their potential for guiding the personalized treatment of various heterogeneous neurological conditions and diseases. Despite many advantages, the prevailing modality in this field—blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI)—suffers from low spatiotemporal resolution and specificity as well as a propensity for noise and spurious signal corruption. To better understand individual differences in BOLD-fMRI data, we can use animal models where fMRI, alongside complementary but more invasive contrasts, can be accessed. Here, we apply simultaneous wide-field fluorescence calcium imaging and BOLD-fMRI in mice to interrogate individual differences using a connectome-based identification framework adopted from the human fMRI literature. This approach yields high spatiotemporal resolution cell-type specific signals (here, from glia, excitatory, as well as inhibitory interneurons) from the whole cortex. We found mouse multimodal connectome-based identification to be successful and explored various features of these data. © The Author(s) 2025.

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Sentiment Analysis of Cooking Oil Price Policy in Indonesia using Word2Vec Feature Extraction and Bidirectional Long Short Term Memory 10

Sentiment Analysis of Cooking Oil Price Policy in Indonesia ...

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10th International Conference on Advanced informatics: Concept, Theory and Application, ICAICTA 2023

作者： Sugiarto, Dedy Utami, Ema Yaqin, Ainul Raharjo, Suwanto Universitas Trisakti Faculty of Industrial Technology DKI Jakarta Indonesia Universitas Amikom Yogyakarta Master Program of Informatics Engineering Yogyakarta Indonesia Informatics IST AKPRIND Yogyakarta Yogyakarta Indonesia

ISBN: (纸本)9798350329919

The policy of the Ministry of Trade of the Republic of Indonesia which sets the highest retail price for cooking oil and then cancels it in early 2022 due to people's complaints about the difficulty of getting cooking oil in the market has received many responses from the public via social media. This study conducts sentiment analysis using Word2Vec and Bidirectional Long Short Term Memory (BLSTM) with the aim of studying the public's response to the removal of the highest retail price policy and effect of both skip-gram (SG) and continuous bag-of-words (CBOW), window size and dimension to the word similarity and accuracy. Data taken via Twitter in March 2022. The data then goes through preprocessing stages, manual labeling by experts, and word embedding using Word2Vec to be further classified using BLSTM. Data labeling produces imbalanced data where the largest is neutral sentiment (53%) followed by negative (27%) and positive (20%). ome of the words such as 'mafia', 'mahal', 'langka', 'tangkap', 'bongkar', and 'mendag' could become the government's attention. The similarity value of the SG model tends to have a higher value than CBOW at a lower word vector dimension. The model that gives the best performance results is the Word2Vec model with 50 dimensions, SG architecture and window size 5. This is shown in the accuracy of 0.71 which is the highest value and only shows slight signs of overfitting. Symptoms of over fitting will be more visible with increasing dimensions. © 2023 IEEE.

关键词： Sentiment analysis

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The Combination of Foot Switch and Low-Cost IMU for a Wearable Mouse in Human-computer Interaction 12

The Combination of Foot Switch and Low-Cost IMU for a Wearab...

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12th International Conference on Information Technology and Electrical engineering, ICITEE 2020

作者： Widodo, Romy Budhi Jahja, Evans Giovanno, Yusuf Ma Chung University Ma Chung Human-Machine Interaction Research Center Informatics Engineering Study Program Malang Indonesia

ISBN: (纸本)9781728110974

A wearable mouse using upper arm movement/gesture is a promising pointing device that can be used by people with lower-arm disablement due to accident or prenatal disablement. The movement of the upper arm could be used to substitute the cursor movement. The use of an inertial measurement system is one way to capture the arm's movement in 3 dimensional spaces. The purposes of this study are the development of a new wearable mouse using the nine degree-of-freedom of inertial measurement unit and a foot switch for clicking action;and the evaluation of its performance on a specified level of difficulties. The device was evaluated by comparing the proposed device and a standard mouse. The performance indicators were throughput, movement time, comfort, and fatigue, based on Fitts' Law formula. The important finding is a significant (p © 2020 IEEE.

关键词： Human computer interaction

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The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans Jateng Purwokerto-Purbalingga Ridership 8

The Smart Mobility Insight of Bus Rapid Transit (BRT) Trans ...

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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Kusumawardani, Dwi Mustika Saintika, Yudha Romadlon, Fauzan Information System Study Program Faculty of Informatics Institut Teknologi Telkom Purwokerto Purwokerto Indonesia Industrial Engineering Study Program Faculty of Industrial Engineering and Design Institut Teknologi Telkom Purwokerto Purwokerto Indonesia

ISBN: (纸本)9781665416979

The rapid development of technology presents a new paradigm, one of which is in the transportation sector. The concept of smart mobility is one of the components in the realization of a smart city, which is closely related to the transportation sector. The Purwokerto-Purbalingga Bus Rapid Transit (BRT) is the government's effort to encourage the transportation sector towards smart mobility. It requires three crucial categories: Accessibility, sustainability, and communication and information technology. This study proves and explains that these three categories can be fulfilled by the Purwokerto-Purbalingga Bus Rapid Transit, especially from women's perception, indicated by an average accessibility score of 4.04, sustainability of 4.22, and Information and Communication Technology of 3.80. Efforts that can be taken by the government and Bus Rapid Transit managers include monitoring and evaluating bus stops and bus arrival frequencies as well as developing mobile-based applications that provide real-time information related to bus rapid transit. © 2021 IEEE.

关键词： Sustainable development

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A progress report and a proposal: Interactivity in ubiquitous learning enhanced by virtual tutors in e-learning contents

A progress report and a proposal: Interactivity in ubiquitou...

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2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008

作者： Yamamoto, Toshiyuki Miyashita, Ryo Department of Media Informatics Kanazawa Institute of Technology Japan Graduate Program in Information and Computer Engineering Kanazawa Institute of Technology Japan

ISBN: (纸本)9780769531588

It is proposed in this session that the interactivity necessary in ubiquitous learning can be enhanced by the virtual tutor who mediates between the learner and the e-Learning contents. Arousing students' intellectual curiosity and raising their motivation to learn are the two great goals for e-Learning contents developers. It is supposed that the interaction in the communication between the teacher and his/her students in a regular classroom can be maintained in e-Learning with the help of Virtual Tutor, which appears on the learning contents in a timely fashion to give learners advice, encouragement, reminders, and such. The session includes discussions to develop such a system making use of the most updated technology as well as demonstrations of such a system which has been experimented at Department of Media informatics. It is proved that the learning environment where human interactivity is essential can be reconstructed in terms of the proposed Virtual Tutor. This paper presentation includes demonstrations of QED as well as a discussion of the importance of interactivity in ubiquitous e-Learning. © 2008 IEEE.

关键词： Students

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Unraveling Game Addiction Behavior Among Digital Native Students: Leveraging Machine Learning for Insights 13

Unraveling Game Addiction Behavior Among Digital Native Stud...

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13th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2024

作者： Amriza, Rona Nisa Sofia Fadhilla, Cut Alna Telkom University Department of Information System Purwokerto Indonesia Universitas Samudra Informatics Study Program Faculty of Engineering Aceh Indonesia

ISBN: (纸本)9798350368086

The allure of gaming often leads to excessive engagement, which can result in addictive and problematic behaviors, negatively impacting academic performance and school achievements. While gaming becomes increasingly prevalent, concerns about game addiction have grown, particularly among students. The excessive and obsessive usage of video games that characterizes game addiction can have detrimental effects like academic deterioration, social isolation, and mental health problems. This study seeks to elucidate the complex patterns of game addiction among digital-native students by utilizing advanced machine learning techniques. We employed Random Forest, SVM, Decision Tree, and Naïve Bayes algorithms to classify game addiction data from students. To address the class imbalance, we applied Borderline-SMOTE. Our results demonstrate that decision tree and random forest outperformed other machine learning approaches, achieving an accuracy of 95% in classifying game addiction. These findings contribute to the expanding body of knowledge on game addiction. Furthermore, in order to provide real-time monitoring and intervention for students who are at risk of developing a game addiction, future research may investigate incorporating these findings into educational platforms or applications. © 2024 IEEE.

关键词： Adversarial machine learning

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Perpetual Crossers without Sensory Delay: Revisiting the Perceptual Crossing Simulation Studies

Perpetual Crossers without Sensory Delay: Revisiting the Per...

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2022 Conference on Artificial Life, ALIFE 2022

作者： Izquierdo, Eduardo J. Severino, Gabriel J. Merritt, Haily Cognitive Science Program Indiana University Bloomington Luddy School of Informatics Computing and Engineering Indiana University Bloomington United States

We revisit the perceptual crossing simulation studies, which are aimed at challenging methodological individualism in the analysis of social cognition by studying multi-agent real-time interactions. To date, all of these simulation studies have reported that it is practically impossible to evolve artificially a robust behavioral strategy without introducing temporal delays into the simulation. Also, all of the studies report on a single strategy: a perpetually crossing agent pair. Here, we systematically report on the evolutionary success of neural circuits on the perceptual crossing task, with and without sensory delay. We also report on two different strategies in the ensemble of successful solutions, only one of which had been discussed in the literature previously. © Artificial Life Conference Proceedings 2022.

关键词： Delay circuits

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