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Model mismatch in multi-objective optimisation and preservation of trade-off order. ⁎

IFAC-PapersOnLine 2019年第26期52卷 249-254页

作者： Gilberto Reynoso-Meza Alejandro Vignoni Yadira Boada Jesüs Picü Enric Picü Industrial and Systems Engineering Graduate Program - PPGEPS. Polytechnic School. Pontifcia Universidade Catülica do Paraná PUCPR. Rua Imaculada Conceição 1155 Zip code 80215-901 Curitiba PR Brazil Synthetic Biology and Biosystems Control Lab I.U. de Automática e Informática Industrial (ai2) Universitat Politècnica de Valencia 46022 Camino de Vera S/N Valencia Spain

Multi-objective optimisation is a valuable tool for tuning dynamical systems when simultaneous optimisation performance objectives are in conflict. When the goal is tuning the parameters of a synthetic biology device, mismatch between the model implemented in silico -a more or less coarse simplification of the real system- and the actual in vivo implementation might lead to a disagreement between the in silico and in vivo design objectives for a given solution from the Pareto front. Here, we propose an iterative closed-loop multi-objective optimisation approach where the new information provided by the difference between the in silico Pareto front and its in vivo implementation is used to improve the parametric model. This aims to minimise the discrepancies between in silico and in vivo performance objectives while preserving the trade-off order among solutions. As a proof-of-concept we consider the problem of tuning a synthetic gene circuit used as feedforward-feedback controller for the expression of a protein of interest. We use an extended parametric model of the gene synthetic circuit to represent the in vivo set up and a simplified one for the in silico one.

关键词： Multi-objective optimisation model mismatch synthetic biology synthetic gene circuit

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Extreme gradient boosting approach with differential evolution tuning applied on service time prediction of fire events 9th

Extreme gradient boosting approach with differential evoluti...

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9th International Joint Conference on Computational Intelligence, IJCCI 2017

作者： Boaretto, Marco A. R. Busatto, Rafael Commim Dos S Coelho, Leandro Federal University of Parana Electrical Engineering Graduate Program Curitiba Brazil Pontifical Catholic University of Parana Industrial and Systems Eng. Grad. Program Curitiba Brazil

ISBN: (纸本)9789897582745

The problems related with urban fires brings destruction, casualties and economic issues to the country. On aiming to decrease the risk specially on populous areas, the development of classification and/or forecasting systems are needed to detect these events. This paper presents a new case of study related with fire incidents to create a predictor with a machine learning technique allied with an optimization technique. Differential evolution (DE) is a population-based stochastic search evolutionary algorithm applied to nonlinear, nondifferentiable, and continuous space functions. It has shown good performance on a wide range of benchmark problems as well as many real-world applications. Extreme Gradient boosting machine (XGBoost) is an efficient boosting technique that is getting a lot of attention because of its success on winning several of competitions hosted by the site Kaggle. However, XGBoost's hyper-parameters tuning process demands a high effort and computational time, hence the application of an optimization technique as DE. In this context, DE showed to be an efficient and robust optimization tool, presenting good and stable results on the adopted tests. Along with the XGBoost hyper-parameter tuning optimized approach, this paper presents a novel database from service times of real fire incidents of the years 2013 and 2014 that were gathered with the Fire Department of the state of Paraná on the city of Curitiba in Brazil (FDPRC). The regression results could contribute with FDPRC, to speed up the location reckoning process of the fire incidents, improving the answering time of the calling. Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Evolutionary algorithms

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Stakeholder Act as an IT and General Compliance Auditor

Stakeholder Act as an IT and General Compliance Auditor

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International Conference on Sustainable Information engineering and Technology (SIET)

作者： Surjandy Erick Fernando Meyliana Raymond Kosala Suhono Harso Supangkat Diani Dwiningrum Merry Marshela Angelica Renita Amalia Information Systems Audit Program Information Systems Department Bina Nusantara University Jakarta Indonesia Information Systems Departement Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9781538674086;9781538674079

Recently, the Indonesian government requires auditors, the need for auditors around 40,000 auditors in 2016, currently has only about 10,800 auditors, however, the lack of the auditors impacting the risk of financial loss for the state. Referring to the problem, this experimental research was conducted. The experiment of the research was conducted two times and the audit topic is a compliance audit in the year 2017 and year 2018. The goal of this research is to know, can the stakeholder act as an IT and general compliance auditor? The experiment was conducted by 8 university students in 2017 and 19 university students in 2018, and the supporting tools of audit activities the university student use the smartphone to capture the object as evidence. The experiment results with descriptive method show university students can act as an auditor and found several pieces of evidence that might cause future impact to the institution.

关键词： Regulation Stakeholders Companies Libraries Finance

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Mid-Infrared Slow Light Engineered One-Dimensional Grating Waveguide

Mid-Infrared Slow Light Engineered One-Dimensional Grating W...

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IEEE/LEOS International Conference on Optical MEMS

作者： Yiming Ma Bowei Dong Bo Li Jingxuan Wei Yuhua Chang Chengkuo Lee Hvbrid-Integrated Flexible (Stretchable) Electronic Systems Program National University of Singapore Singapore Singapore NUS Graduate School for Integrative Sciences and Engineering (NGS) National University of Singapore Singapore Singapore

The design, fabrication and characterization of one-dimensional (1D) grating waveguide as slow light structure working in mid-infrared region are demonstrated for the first time. The effects of various structural parameters on slow light properties are systematically investigated through simulation and experiment, providing solid guidance on slow light engineering in 1D grating waveguide.

关键词： Gratings Slow light Optical waveguides Indexes Structural engineering Dispersion Photonics

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Performance Management systems for Project Management Offices: A Case-Based Study

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Procedia Manufacturing 2019年 39卷 923-931页

作者： Rafael Duarte Fernando Deschamps Edson Pinheiro de Lima André Pepino Rene Marcel Guzman Clavijo Universidade Positivo R. Prof. Pedro Viriato Parigot de Souza 5300 Curitiba - PR 81280-330 Brazil Industrial and Systems Engineering Graduate Program (PPGEPS) – Pontifical Catholic University of Parana (PUCPR) R. Imac. Conceição 1155 Curitiba - PR 80215-901 Brazil Department of Mechanical Engineering (DEMEC) Federal University of Parana (UFPR) Av. Cel. Francisco H. dos Santos 230 - Centro Politécnico Bloco IV Curitiba - PR 81530-000 Brazil Federal University of Technology – Parana (UTFPR)

Project Management Offices (PMOs) are organizational structures in charge of managing and coordinating several simultaneous projects within companies. Due to the complexity of different projects’ objectives, it’s usual to simplify project indicators and control them by means of the well-known triple constraint or “iron triangle”: scope, cost and time. This approach does not account for the organizational strategy, internal and external stakeholders’ interests, nor other specific indicators. The problems due to the lack of integration caused by this oversimplification are yet amplified in complex project portfolios related to technology development and deployment, since in this kind of scenario the marketing competition demands new features, at lower costs, in no time. These points could be addressed by operations management approaches, such as the Performance Management systems Design Framework (PMSDF). To identify the viability and relevance in using this method in PMOs, this work adopts a mixed methods research. Is begins with a Systematic Literature Review to better understand performance management routine and tools in PMO. It was followed by meetings with two project management consultants, to identify the best practices, habits and advises, to check the differences between practitioner and academic views. Finally, it was conducted interviews with the PMO Director of a trucks’ manufacturer and a PMO Manager in an agrarian-cattle-breeding cooperative, to verify how such companies measure their PMO’s successes. The last step was to adapt the PMSDF to the project management context, evaluating the PMO operation in a medium-sized software development company and propose the restructuration of its Performance Management System.

关键词： PMS PMO KPI Operations Strategy PMSDF

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Mapping the Conceptual Relationship among Data Analysis, Knowledge Generation and Decision-making in Industrial Processes

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Procedia Manufacturing 2017年 11卷 1751-1758页

作者： dos Santos, Cleiton Ferreira Piechnicki, Flávio de Freitas Rocha Loures, Eduardo Santos, Eduardo Alves Portela Pontifical Catholic University of Paraná (PUC-PR) Graduate Program in Production and Systems Engineering (PPGEPS) 1155 Imaculada Conceição Street Curitiba 80215-901 Brazil

In accordance with Industry 4.0, data should be used for process and/or system integration, including the decision-making process. In this context, this paper aims to relate the process of decision-making with process mining through concept maps, assisting the areas of Data engineering and Analytics. To do so, some Multiple-Criteria Decision-Making/Analysis (MCDM/A) methods will be addressed in order to conceptually highlight the relationship between knowledge and decision dimensions. As a result, the definitions about these fields of study allow perceiving an information and knowledge conciliation approach promoted by the integrated view of process mining and MCDM/A methods. © 2017 The Authors

关键词： Concept Map Industry 4.0. Knowledge Discovery Multiple-Criteria Decision-Making/Analysis (MCDM/A) Process Mining (PM)

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Exploring Macroscopic Fluctuation of Facial Expression for Mood Disorder Classification

Exploring Macroscopic Fluctuation of Facial Expression for M...

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Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)

作者： Qian-Bei Hong Chung-Hsien Wu Ming-Hsiang Su Kun-Yi Huang Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Tainan Taiwan Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9781538653128

In clinical diagnosis of mood disorder, a large portion of bipolar disorder patients (BDs) are misdiagnosed as unipolar depression (UDs). Clinicians have confirmed that BDs generally show "reduced affect'' during clinical treatment. Thus, it is expected to build an objective and one-time diagnosis system for diagnosis assistance by using machine-learning techniques. In this study, facial expressions of BD, UD and control group (C) elicited by emotional video clips are collected for exploring temporal fluctuation characteristics of intensities of facial muscles expression among the three groups. The differences of facial expressions among mood disorders are investigated by observing macroscopic fluctuations. To deal with these problems, the corresponding methods for feature extraction and modeling are proposed. From the viewpoint of macroscopic facial expression, action unit (AU) is applied for describing the temporal transformation of muscles. Then, modulation spectrum is used for extracting short-term variation of AU. The multilayer perceptron (MLP)-based disorder prediction model is then applied to obtain the prediction results. For evaluation of the proposed method, 12 subjects for three group are included in the K-fold (K=12) cross validation experiments. The experiment results reached 61.1% classification accuracy, and outperformed the other baseline methods.

关键词： Mood Gold Fluctuations Databases Feature extraction Modulation Predictive models

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Syncgan: Synchronize the Latent Spaces of Cross-Modal Generative Adversarial Networks

Syncgan: Synchronize the Latent Spaces of Cross-Modal Genera...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Wen-Cheng Chen Chien-Wen Chen Min-Chun Hu Dept. of Computer Science and Information Engineering National Cheng Kung University Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Taiwan

Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional transfer and have achieved preliminary success on text-to-image transfer. Instead of learning the transfer between different modalities, we aim to learn a synchronous latent space representing the cross-modal common concept. A novel network component named synchronizer is proposed in this work to judge whether the paired data is synchronous/corresponding or not, which can constrain the latent space of generators in the GANs. Our GAN model, named as SyncGAN, can successfully generate synchronous data (e.g., a pair of image and sound) from identical random noise. For transforming data from one modality to another, we recover the latent code by inverting the mappings of a generator and use it to generate data of different modality. In addition, the proposed model can achieve semi-supervised learning, which makes our model more flexible for practical applications.

关键词： Synchronization Gallium nitride Generators Data models Training Generative adversarial networks Training data

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LSTM-based Text Emotion Recognition Using Semantic and Emotional Word Vectors

LSTM-based Text Emotion Recognition Using Semantic and Emoti...

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Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)

作者： Ming-Hsiang Su Chung-Hsien Wu Kun-Yi Huang Qian-Bei Hong Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Tainan Taiwan

ISBN: (纸本)9781538653128

This study proposes a long-short term memory (LSTM)-based approach to text emotion recognition based on semantic word vector and emotional word vector of the input text. For each word in an input text, the semantic word vector is extracted from the word 2vec model. Besides, each lexical word is projected to all the emotional words defined in an affective lexicon to derive an emotional word vector. An autoencoder is then adopted to obtain the bottleneck features from the emotional word vector for dimensionality reduction. The autoencoder bottleneck features are then concatenated with the features in the semantic word vector to form the final textual features for emotion recognition. Finally, given the textual feature sequence of the entire sentence, the LSTM is used for emotion recognition by modeling the contextual emotion evolution of the input text. For evaluation, the NLPCC-MHMC-TE database containing seven emotion categories: anger, boredom, disgust, anxiety, happiness, sadness, and surprise was constructed and used. Five-fold cross-validation was employed to evaluate the performance of the proposed method. Experimental results show that the proposed LSTM-based method achieved a recognition accuracy of 70.66%, improving 5.33% compared with the CNN-based method. Besides, the proposed method based on integration of the semantic word vector and emotional word vector of the input text outperformed that using the individual feature vector.

关键词： Emotion recognition Databases Logic gates Feature extraction Semantics Speech recognition Computer science

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The Ni isotopic composition of Ryugu reveals a common accretion region for carbonaceous chondrites

arXiv

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arXiv 2024年

作者： Spitzer, Fridolin Kleine, Thorsten Burkhardt, Christoph Hopp, Timo Yokoyama, Tetsuya Abe, Yoshinari Aléon, Jérôme OD. Alexander, Conel M. Amari, Sachiko Amelin, Yuri Bajo, Ken-Ichi Bizzarro, Martin Bouvier, Audrey Carlson, Richard W. Chaussidon, Marc Choi, Byeon-Gak Dauphas, Nicolas Davis, Andrew M. Rocco, Tommaso Di Fujiya, Wataru Fukai, Ryota Gautam, Ikshu Haba, Makiko K. Hibiya, Yuki Hidaka, Hiroshi Homma, Hisashi Hoppe, Peter Huss, Gary R. Ichida, Kiyohiro Iizuka, Tsuyoshi Ireland, Trevor R. Ishikawa, Akira Itoh, Shoichi Kawasaki, Noriyuki Kita, Noriko T. Kitajima, Kouki Komatani, Shintaro Krot, Alexander N. Liu, Ming-Chang Masuda, Yuki Morita, Mayu Moynier, Fréderic Motomura, Kazuko Nakai, Izumi Nagashima, Kazuhide Nguyen, Ann Nittler, Larry Onose, Morihiko Pack, Andreas Park, Changkun Piani, Laurette Qin, Liping Russell, Sara S. Sakamoto, Naoya Schönbächler, Maria Tafla, Lauren Tang, Haolan Terada, Kentaro Terada, Yasuko Usui, Tomohiro Wada, Sohei Wadhwa, Meenakshi Walker, Richard J. Yamashita, Katsuyuki Yin, Qing-Zhu Yoneda, Shigekazu Young, Edward D. Yui, Hiroharu Zhang, Ai-Cheng Nakamura, Tomoki Naraoka, Hiroshi Noguchi, Takaaki Okazaki, Ryuji Sakamoto, Kanako Yabuta, Hikaru Abe, Masanao Miyazaki, Akiko Nakato, Aiko Nishimura, Masahiro Okada, Tatsuaki Yada, Toru Yogata, Kasumi Nakazawa, Satoru Saiki, Takanao Tanaka, Satoshi Terui, Fuyuto Tsuda, Yuichi Watanabe, Sei-Ichiro Yoshikawa, Makoto Tachibana, Shogo Yurimoto, Hisayoshi Max Planck Institute for Solar System Research Justus-von-Liebig-Weg 3 Göttingen37077 Germany Department of Earth and Planetary Sciences Tokyo Institute of Technology Tokyo152-8551 Japan Graduate School of Engineering Materials Science and Engineering Tokyo Denki University Tokyo120-8551 Japan Institut de Minéralogie de Physique des Matériaux et de Cosmochimie Sorbonne Université Museum National d'Histoire Naturelle CNRS UMR 7590 IRD Paris75005 France Earth and Planets Laboratory Carnegie Institution for Science WashingtonDC20015 United States McDonnell Center for the Space Sciences and Physics Department Washington University 35 St. LouisMO63130 United States Geochemical Research Center The University of Tokyo Tokyo113-0033 Japan Guangzhou Institute of Geochemistry Chinese Academy of Sciences GD Guangzhou510640 China Departement of Natural History Sciences Hokkaido University Sapporo001-0021 Japan Centre for Star and Planet Formation Globe Institute University of Copenhagen Copenhagen1350 Denmark Bayerisches Geoinstitut Universität Bayreuth Bayreuth95447 Germany Université Paris Cité Institut de Physique du Globe de Paris CNRS Paris75005 France Department of Earth Science Education Seoul National University Seoul08826 Korea Republic of Department of the Geophysical Sciences Enrico Fermi Institute The University of Chicago 5734 South Ellis Avenue Chicago60637 United States Faculty of Geosciences and Geography University of Göttingen GöttingenD-37077 Germany Faculty of Science Ibaraki University Mito310-8512 Japan ISAS/JSEC JAXA Sagamihara252-5210 Japan Research Center for Advanced Science and Technology The University of Tokyo Tokyo153-8904 Japan Research Institute for Marine Resources Utilization Japan Agency for Marine-Earth Science and Technology Kanagawa237-0061 Japan Departement of Earth and Planetary Sciences Nagoya University Nagoya464-8601 Japan Osaka Application Laboratory SBUWDX Rigaku Corporation Osaka569-1

The isotopic compositions of samples returned from Cb-type asteroid Ryugu and Ivuna-type (CI) chondrites are distinct from other carbonaceous chondrites, which has led to the suggestion that Ryugu/CI chondrites formed in a different region of the accretion disk, possibly around the orbits of Uranus and Neptune. We show that, like for Fe, Ryugu and CI chondrites also have indistinguishable Ni isotope anomalies, which differ from those of other carbonaceous chondrites. We propose that this unique Fe and Ni isotopic composition reflects different accretion efficiencies of small FeNi metal grains among the carbonaceous chondrite parent bodies. The CI chondrites incorporated these grains more efficiently, possibly because they formed at the end of the disk’s lifetime, when planetesimal formation was also triggered by photoevaporation of the disk. Isotopic variations among carbonaceous chondrites may thus reflect fractionation of distinct dust components from a common reservoir, implying CI chondrites/Ryugu may have formed in the same region of the accretion disk as other carbonaceous chondrites. © 2024, CC BY.

关键词： Nickel

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